Jun Fu

• PH.D
• China Petroleum and Chemical Corporation

To address the challenge of globally optimal control of path-constrained switched systems, a hybrid intelligent dynamic optimization method is proposed by combining the bi-objective particle swarm optimization (PSO) method and a gradient descent method, which simultaneously obtains globally optimal switching instants and input and guarantees rigo...

This paper investigates the adaptive tracking control in a prescribed‐time for a class of uncertain nonlinear systems with a full state constraint. Firstly, in order to restrict the state constraints, the barrier Lyapunov function is employed and parameter uncertainty is handled based on linear‐in‐the‐parameters (LIP). A prescribed‐time adaptive co...

Two state feedback based event-triggered stabilization methods for switched systems under both synchronous phenomenon and asynchronous phenomenon are proposed, where no subsystem of the resulting closed-loop switched systems is necessarily stable. The discontinuity of triggering conditions at switching instants of controllers or subsystems can resu...

Aero-engine performance optimization remains significant for both efficiency and safety during specific operating conditions. Previous works usually solve this optimization problem under a single-objective optimization framework, while multiple objectives need to be optimized simultaneously. Besides, the underlying optimization process requires a v...

In this paper, the adaptive control is investigated by switching linear controllers for a class of nonlinear parameterized systems with multiple unknown control directions. Parametric uncertainties entering the state equations nonlinearly can be fast time‐varying or jumping at unknown time instants, the bounds of the parametric uncertainties are no...

In this article, a dynamic event-triggered adaptive antidisturbance (ETAAD) switching control strategy is proposed for switched systems subject to multisource disturbances. The disturbances are divided into two categories: the available unmodeled disturbance and the unavailable dynamic neural network modeled disturbance. First, a dynamic ET criteri...

This chapter considers the dynamic optimization problem of path-constrained switched systems with a fixed switching sequence. Our main goal is to design a dynamic optimization algorithm, which can find the optimal input and switch times with guaranteed satisfaction of path constraints within a finite number of iterations. Such kind of problem is qu...

Many practical systems and industrial processes involves dynamic optimization. For hybrid systems, the simultaneous appearance of switching mechanisms and path constraints poses great challenges to both theoretical studies and numerical solutions of optimization problems. On the one hand, there is an urgent need to develop a general theoretical fra...

Bi-level optimization strategy optimizes decision variables in two stages at each iteration, resulting in more NLPs to be solved, which are the most expensive cost at each iteration of the algorithms. As one can observe from the numerical simulation in the previous chapter, the computational efficiency of the bi-level algorithm is relatively low, e...

Conflicting decisions have to be made in practical problems, therefore we consider multi-objective dynamic optimization problems (MDOPs) of path-constrained switched systems in this chapter. To guarantee the rigorous satisfaction of path constraints and the finite convergence of the algorithm, we combine the single-objective optimization method pro...

After handling the difficulty of optimizing the input and switch times, in this chapter, we shall remove the restriction of the fixed switching sequence, and consider dynamic optimization problems with free switching sequences. Seeking the best combinatorial optimization among the system input, switch times and the switching sequence has always bee...

This paper studies the prescribed-time stabilization of a class of nonlinear systems with control singularities. The settling time is independent of not only the design parameters but also the initial conditions, and can be set according to per our will. By using backstepping, we simultaneously construct a control Lyapunov function (CLF) with singu...

Cyber–physical systems (CPSs) driven by a local controller and a remote controller have been gaining significant research interest in recent years due to its application scenarios in practice, such as unmanned aerial vehicles (UAVs). In this article, we consider the security issue in the remote control system with a local controller under stealthy...

This paper studies the problem of the prescribed-time tracking control for a class of strict-feedback nonlinear systems with guaranteed performance. We will design a controller to achieve the following: one is to achieve the prescribed-time tracking, in which the settling time is not only independent of the design parameters, nor does it depend on...

This article proposes a fractional-order intelligent fault-tolerant synchronization tracking control (FO-I-FTSTC) scheme for multiple unmanned airships (UAs) against actuator faults. Within the developed control architecture, fixed-time prescribed performance functions (PPFs) are first designed to transform the synchronization tracking errors into...

This article investigates the fault-tolerant coordinated tracking control problem for networked fixed-wing unmanned aerial vehicles (UAVs) against faults and communication delays. By supplementing the commonly used Gaussian functions in the fuzzy neural networks (FNNs) with sine–cosine functions and constructing two kinds of recurrent loops within...

In this article, the event-triggered output regulation problem (EORP) under the denial-of-service (DoS) attacks is considered for networked switched systems (NSSs) with unstable switching dynamics (USDs). The USDs here refer to the unsolvable output regulation of each subsystem and the destabilization at partial switching instants, which indicates...

In this paper, the problem of the predefined-time tracking with time-varying output constraints (TVOC) is investigated for a class of nonlinear strict-feedback systems. First, the sufficient conditions for the studied problem are presented. Then, a recursive design algorithm of the controller is proposed by backstepping technique. A novel stabilizi...

This article investigates the robust exponential stabilization of a class of switched positive systems with uncertainties by co‐designing controllers for subsystems and dwell time switching strategy. The uncertainties refer to interval uncertainties. One of the distinguishing features is that none of the forced individual subsystems is assumed to b...

In this article, a hybrid intelligent dynamic optimization method integrating of particle swarm optimization (PSO) and gradient-based optimization (GBO) is proposed for optimal control of switched systems. The method both improves the solution accuracy of PSO and avoids falling into local minima generated by the deterministic optimization. First, t...

In this paper, a hybrid adaptive control method is proposed for a class of discrete-time multiple-inputs-multiple-outputs (MIMO) systems with non-Lipschitz nonlinearities by introducing a novel Riemann sum operator with variable step size. Firstly, for the first order approximation of the original nonlinear system, a linear adaptive controller is d...

This paper proposes an adaptive fault-tolerant cooperative control (FTCC) scheme for networked unmanned aerial vehicles (UAVs) in the presence of actuator faults and wind effects by artfully introducing fractional order calculus, proportional–integral–derivative (PID), and recurrent neural networks. Fractional order sliding-mode surface and PID-typ...

This article investigates the distributed fault-tolerant time-varying formation control problem for multiple unmanned airships (UAs) against limited communication ranges and input saturation to achieve the safe observation of a smart city. To address the strongly nonlinear functions caused by the time-varying formation flight with limited communica...

This paper is concerned with the event-triggered output regulation problem for a class of linear networked switched systems (NSSs). A mode-dependent alternate event-triggered mechanism (AETM) is integrated into the NSSs with transmission delays and packet losses for the first time based on continuous detection and periodic sampling, and a joint-des...

This paper investigates a new finite-time fault-tolerant control (FTC) using a fractional-order backstepping iterative design strategy for a fixed-wing unmanned aerial vehicle (UAV) in the presence of actuator faults and input saturation. To compensate for the lumped disturbance induced by the actuator faults, a neural network disturbance observer...

An algorithm is proposed for locating an optimal solution satisfying the KKT conditions to a specified tolerance to inequality-path-constrained dynamic optimization (PCDO) problem within finite iterations. This algorithm solves the optimization problem by iteratively approximating the original optimization problem through adaptive convexification o...

In this chapter, we focus on studying the periodic sampled-data control for a class of switched linear neutral systems. By analyzing the relationship between the sampling period and the dwell time of switched system, a bond between sampling period and average dwell time is revealed to form a switching condition.

In this chapter, we study both state-based and observer-based output feedback event-triggered sampled-data control for a class of continuous-time switched linear systems. Compared with the result of Chap. 2, an improved event-triggered sampling mechanism is introduced, under which the controller is triggered to achieve Lyapunov stability of the clo...

In this chapter, we study the problem of robust fault-tolerant control of a class of switched cascade nonlinear systems with structural uncertainties existing in both system matrices and input matrices, and proposes a fault-tolerant control method for this class of switched systems by using average dwell-time techniques. The main features and contr...

In this chapter, we present a fault-tolerant control method for the switched cascade nonlinear systems where the nonlinear subsystem contains structural uncertainties and also whose actuators are allowed to partially fail. We first define the representation of partial actuator fault models, and then find a common Lyapunov function to design a contr...

In this chapter, we study the stabilization problem for a class of switched linear neutral systems based on a state-dependent switching strategy. A state-dependent switching strategy, which is also called hysteresis-based switching, is proposed by generalizing the min-switching strategy. A multiple generalized Lyapunov–Krasovskii functional method...

In this chapter, we study state-based and observer-based event-triggered control problems for a class of switched linear delay systems. Compared with switched non-delay systems, switched delay systems are with more complex system structure in which at least one subsystem is a delay system. The feature of this chapter lies in three aspects: (1) The...

In this chapter, we study the observer-based output feedback control problem for a class of switched linear neutral systems under an event-triggered sampling mechanism and for the first time address event-triggered control of switched linear neutral systems. Switched neutral systems are a special kind of switched delay systems but with more complex...

In this chapter, we aim to study the event-triggered sampled-data control problem for a class of switched linear systems. Since system states cannot be measured directly in some special situations of practical systems, see [20, 21], a state observer is first designed and then an event-triggered sampling mechanism is constructed according to the obs...

The automatic control of blast furnace (BF) ironmaking process has always been an important yet arduous task in metallurgic engineering and automation. In this article, a novel Kalman filter-based robust model-free adaptive predictive control (MFAPC) method is proposed for the direct data-driven control of molten iron quality in BF ironmaking. Firs...

This article presents an enhanced fault-tolerant synchronization tracking control scheme using fractional-order (FO) calculus and intelligent learning architecture for networked fixed-wing unmanned aerial vehicles (UAVs) against actuator and sensor faults. To increase the flight safety of networked UAVs, a recurrent wavelet fuzzy neural network (RW...

This article investigates a distributed fractional-order fault-tolerant formation-containment control (FOFTFCC) scheme for networked unmanned airships (UAs) to achieve safe observation of a smart city. In the proposed control method, an interval type-2 fuzzy neural network (IT2FNN) is first developed for each UA to approximate the unknown term asso...

In this chapter, the global adaptive finite-time stabilization is investigated by logic-based switching control for a class of uncertain nonlinear systems with the powers of positive odd rational numbers. Parametric uncertainties entering the state equations nonlinearly can be fast time-varying or jumping at unknown time instants, and the control c...

This chapter investigates the global finite-time stabilization for a class of switched nonlinear systems in non-triangular form, whose subsystems have chained integrators with the powers of positive odd rational numbers (i.e., numerators and denominators of the powers are all positive odd integers). All subsystems are not assumed to be stabilizable...

This chapter investigates standard \(H_\infty \) control of switched systems via dwell time switchings without posing any internal stability requirements on subsystems of the switched systems. First, a sufficient condition is formed by specifying lower and upper bounds of the dwell time, constraining upper bound of derivative of Lyapunov function o...

In this chapter, we will present new results on global finite-time stabilization for a class of switched strict-feedback nonlinear systems, whose subsystems have chained integrators with the powers of positive odd rational numbers (i.e., numerators and denominators of the powers are all positive odd integers but not necessarily relatively prime). A...

This book presents several novel constructive methodologies for global stabilization and H-infinity control in switched dynamic systems by using the systems’ structure information. The main features of these new approaches are twofold: i) Novel Lyapunov functions are constructed and new switching strategies are designed to guarantee global finite-t...

This text will be replaced by This book approaches its subject matter in a way that provides Lyapunov function analysis and event-triggered design methods for switched dynamic systems in terms of sampled-data control, hysteresis switching control, and fault-tolerant control. This book presents several novel design methods on event-triggered control...

In this article, for a class of continuous-time nonlinear nonaffine systems with unknown dynamics, a robust approximate optimal tracking controller (RAOTC) is proposed in the framework of adaptive dynamic programming (ADP). The distinguishing contribution of this article is that a new Lyapunov function is constructed, by using which the derivative...

This chapter investigates state observers design of a class of unknown inputs switched linear systems via mode-dependent dwell time switchings. The distinguishing feature of the proposed method is that strong detectability condition of subsystems of the switched systems is unnecessarily required. Firstly, a time-varying coordinate transformation is...

This chapter deals with the global finite-time stabilization problem for a class of switched nonlinear systems under arbitrary switchings. All subsystems of the studied switched system under consideration are in lower triangular form. Based on the adding one power integrator technique, both a class of non-Lipschitz continuous state feedback control...

This article considers the decentralized fractional-order fault-tolerant control problem for unmanned aerial vehicles (UAVs) against wind disturbances and actuator faults in a directed communication network. A new composite adaptive disturbance observer-based decentralized fractional-order fault-tolerant control (CADOB-DFO-FTC) scheme, which incorp...

This paper considers the reliable control problem for multiple trailing fixed-wing unmanned aerial vehicles (UAVs) against actuator faults and wake vortices. A distributed adaptive fault-tolerant control (FTC) scheme is proposed by using a distributed sliding-mode estimator, dynamic surface control architecture, neural networks, and disturbance obs...

Concurrent occurrences of actuator faults and wind effects can significantly threaten the flight safety of multiple unmanned aerial vehicles (multi-UAVs). To address this difficult control problem against actuator faults and wind effects, a composite decentralized fractional-order (FO) backstepping adaptive neural fault-tolerant control (FTC) metho...

This article investigates the exponentially stabilization problem for a class of switched positive systems with actuator saturation under dwell time switching signal. The state feedback controllers for each subsystem are designed by proposing a new type of multiple time-varying linear co-positive Lyapunov functions (MTVLCLFs), and sufficient condit...

This paper investigates standard H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control of switched systems via dwell-time switchings without posing any internal stability requirements on subsystems of the switched systems. First, a sufficient condition is formed by specifying lower and uppe...

This paper investigates the standard H ∞ performance for a class of switched linear systems with time-varying delay in the framework of the delay-dependent/delay-independent minimum dwell time. For the studied systems, we first construct two types of multiple time-varying Lyapunov functionals, and then obtain the sufficient conditions by restrictin...

This paper presents an average dwell-time method for fault-tolerant control of a class of uncertain switched linear time-delay systems and also designs an algorithm to determine the parameters pertaining to the dwell-time condition. Compared to the literature results, this paper features: 1) the proposed method is independent of switching polices i...

Motion tracking control design of nonholonomic mobile robot systems considering actuator dynamics is addressed in this paper. A trajectory tracking controller is designed at actuator level, which guarantees that the nonholonomic mobile robot tracks a given trajectory. A numerical example is shown to demonstrate and validate the proposed approach in...

Event-triggered control is an effective control strategy, capable of reducing the amount of communications and retaining a satisfactory closed-loop performance. In this paper, we aim at proposing an event-triggered sampling mechanism and studying observer-based output feedback control for switched linear neutral systems with mixed time-varying dela...

In this paper, global adaptive finite-time stabilization is investigated by logic-based switching control for a class of uncertain nonlinear systems with the powers of positive odd rational numbers. Parametric uncertainties entering the state equations nonlinearly can be fast time-varying or jumping at unknown time instants, and the control coeffic...

This paper presents an event-triggered sampling mechanism and develops a sampled-data-based stabilizer for switched linear systems. First of all, state estimators are designed for individual subsystems of the switched system. Secondly, sampling is triggered only if the error between estimated state and sampled state violates a dynamic threshold, an...

This paper investigates state observers design of a class of unknown inputs switched linear systems via modedependent dwell time switchings. The distinguishing feature of the proposed method is that strong detectability condition of subsystems of the switched systems is unnecessarily required. Firstly, a time-varying coordinate transformation is in...

The global stabilization design of a class of switched linear singular systems via a novel dwell-time switching is investigated and solved in this work. The distinguishing feature of the proposed method is that stability of all subsystems of the switched systems is not necessarily required. A time-varying coordinate transformation is introduced fir...

With the development of digital control technology, sampled-data control shows its prominent superiority for most practical industries. In the framework of sampled-data control, this paper studies the stabilization problem for a class of switched linear neutral systems meanwhile taking into account asynchronous switching. By utilizing the relations...

In this paper a reliable HTC controller for a class of uncertain switched linear systems is designed using the multiple Lyapunov function technique with the property that the solvability of reliable HTC control of the individual subsystems is not necessary. First, reliable HTC control is defined for this class of systems and the multiple Lyapunov f...

In this brief, an online robust adaptive dynamic programming algorithm is proposed for two-player zero-sum games of continuous-time unknown linear systems with matched uncertainties, which are functions of system outputs and states of a completely unknown exosystem. The online algorithm is developed using the policy iteration (PI) scheme with only...

This paper is concerned with the finite-time stabilization with output constraint for a class of uncertain nonlinear systems. The systems under consideration admit a structure which includes the one dominated by lower triangular form as a special case. We give some sufficient conditions that enable our design by characterizing the nonlinear functio...

In this paper, we study the stabilization problem for a class of switched neutral systems with mixed time-varying delays under sampled-data control with fixed sampling period. The sampled control input is converted into a continuous time control with a time-varying piecewise continuous delay. We stabilize the switched systems by combining the dwell...

In this paper, we will present new results on global finite-time stabilization for a class of switched strict-feedback nonlinear systems, whose subsystems have chained integrators with the powers of positive odd rational numbers (i.e., numerators and denominators of the powers are all positive odd integers but not necessarily relatively prime). All...

This brief considers fault-tolerant control of a class of uncertain switched nonlinear systems against partial actuator failures. This brief first presents a fault-tolerant control method by using the common Lyapunov function technique and then applies it to haptic display systems. Compared to the relevant literature results, this proposed method i...

This article investigates the global finite-time stabilization (GFS) for a class of switched nonlinear systems in non-triangular form, whose subsystems have chained integrators with the powers of positive odd rational numbers (i.e., numerators and denominators of the powers are all positive odd integers). All subsystems are not assumed to be stabil...

In this paper, a decentralized adaptive fuzzy control scheme has been developed for two robotic manipulators that collaboratively moves an object with impedance interaction in the presence of dynamics uncertainties and unknown external disturbances. By modelling the contact forces using gradients of nonlinear potentials, we obtain the deformations...

Since hematite ore exhibits low grade, fine-grained and non-homogenous distribution, fluctuations occur frequently in its key variables during regrinding process. These key variables include the flowrate and the density of slurry produced in the first stage grinding, the underflow of the hydrocyclone and the dilution water flow added to the sump. S...

This paper considers the reliable control problem of a class of uncertain switched cascade nonlinear systems. A new state-feedback control method is proposed for global stabilization of the nonlinear switched systems against actuator faults with the existence of structural uncertainties. Compared with the existing results of switched systems, this...

This paper considers motion/force tracking control of a class of Lagrange mechanical systems with classical nonholonomic constraints. A tracking control method is proposed by combining cascaded methods and backstepping techniques. The main results of this paper include three parts: (1) error dynamics between the kinematic system and the desired pat...

This paper presents an average dwell-time approach for reliable stabilization of a class of switched nonlinear systems. Due to the nature of average dwell-time techniques and the representation of actuator faults, this paper has the following features compared with the existing methods in the literature: (1) the proposed method is independent of ar...

This paper presents a robust fault-tolerant control method for a class of uncertain switched systems with strong structural uncertainties and applied it to haptic display systems. The proposed controller can stabilize the switched systems containing strong uncertainties with actuator faults and its nominal systems (i.e., without actuator faults) wi...

This paper considers robust fault-tolerant control problem of a class of uncertain switched nonlinear systems. A new state feedback fault-tolerant control method is proposed for global stabilization of the nonlinear switched systems against actuator faults and structure uncertainties. Compared with the existing results on fault-tolerant control of...

Magnetostrictive actuators exhibit inherent asymmetric hysteresis nonlinearities. In this paper, an asymmetric shifted Prandtl-Ishlinskii (ASPI) model was first proposed, being composed by three components: a Prandtl-Ishlinskii (PI) operator, a shift operator and a Lipschitz-continuous function. The benefits for such a model are that it can represe...

This paper considers a class of discrete time linear multivariable non-minimum systems with unknown structures. A robust adaptive decoupling controller is proposed. First, for the design of the decoupling controller, a reduced order model is introduced. Then, by combining one-step-ahead weighting adaptive control with a feedforward decoupling compe...

Control objectives of the forced-circulation evaporation process of alumina production include maintaining the liquid level and fast tracking of the product density to its setpoint. Due to the strong coupling between the level control and product density control loops and high nonlinearities in the process, conventional control strategies can not a...

In this paper, an adaptive generalized predictive control method using adaptive-network-based fuzzy-inference system (ANFIS) and multiple models is proposed for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The proposed controller consists of a linear and robust generalized predictive adaptive controller, a nonli...

This paper develops a generalized predictive control method using adaptive-network-based fuzzy inference system (ANFIS) and multiple models for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The proposed method is composed of a linear robust generalized predictive controller, an ANFIS-based nonlinear generalized p...

Controlling the product quality and energy consumption within their desired ranges is the main objective for the operation of the smelting process of fused magnesia. With manual control, which is still widely used in practice, variations in the boundary conditions make it difficult for adjusting the setpoints for various control loops involved, the...

In this paper, a hybrid intelligent control method for a closed-circuit grinding process (CCGP) is developed to stabilize the grinding process in mineral processing and replace the manual operation. This method integrates a cascade averaging controller (CAC), an abnormal sump level controller using rule based reasoning (RBR), a switching controller...

This paper presents a nonlinear control method by combining adaptive-network-based fuzzy inference system (ANFIS) with multiple models for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The proposed method is composed of a linear robust controller, an ANFIS-based nonlinear controller, and a switching mechanism usi...

Furnace temperature control has a direct impact on steel qualities and energy consumptions in a steel rolling process. Due to dramatic changes of combustion, this multi-variable process is time-varying, and also has inherent nonlinearities, couplings among the variables, large inertias and time delays. Therefore, manual operations are still being w...

Control of nonlinear systems preceded by unknown hysteresis nonlinearities is usually difficult and challenging due to the non-smooth nonlinearities of hysteresis. It has received increasing attention recently owing to growing industrial demands involving varied applications. Although many mathematical models have been proposed to describe the hyst...

This paper proposes a new backstepping approach to nonlinear control of power converters which is attracting considerable attention in both theoretical research and practical applications. The main difference between the proposed algorithm and the existing classical adaptive backstepping method in the literature is that the adaptation mechanism doe...

An observer-based adaptive control scheme for piezoelectric actuators is proposed. In the developed method the classical Duhem model is adopted to describe the hysteresis exhibited in the piezoelectric actuators. Due to the unavailability of the hysteresis output, an observer-based adaptive controller, with incorporation of a pre-inversion neural n...

In this paper, a globally robust stabilizer for a class of uncertain non-minimum-phase nonlinear systems in generalized output feedback canonical form is designed. The system contains unknown parameters multiplied by output-dependent nonlinearities and output-dependent nonlinearities enter such a system both additively and multiplicatively. The pro...

In this paper, an observer-based controller for piezoelectric actuator with unknown hysteresis is proposed. An augmented feed-forward MLP is used to approximate a complicated piecewise continuous unknown nonlinear function in the explicit solution to the differential equation of Duhem model. The adaptive compensation algorithm and the weight matrix...

This paper proposes a neural network (NN)-based adaptive control of piezoelectric actuators with unknown hysteresis. Based on the classical Duhem model described by a differential equation, the explicit solution to the equation is explored and a new hysteresis model is constructed as a linear model in series with a piecewise continuous nonlinear fu...

Control of nonlinear systems preceded by unknown hysteresis nonlinearities is usually difficult and challenging due to the nonsmooth and memory characteristics of hysteresis. Focusing on a class of inherently nonlinear systems and with use of available mathematical models of hysteresis nonlinearities, this paper addresses the challenge on how to fu...

A compensator is proposed to achieve globally and practically adaptive output tracking control for a class of linearly parameterized nonlinear systems with uncontrollable unstable linearization under the framework Immersion and Invariance (I&I) tool. As illustrated in [9], the globally asymptotic output tracking of a time-varying reference signal f...