Yun Shang's research while affiliated with Qingdao University of Science and Technology and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (14)
This paper studies prescribed-time stabilization for a class of unknown strict-feedback nonlinear systems. Adaptive time-varying feedback control method and non-scaling transformation strategies are employed to reduce the computation burden caused by the scaling functions. Besides, the proposed method uses a constrained function to avoid the possib...
This paper focuses on the finite-time consensus tracking control problem of nonlinear multi-agent systems. Dynamics of each agent has completely unknown nonlinear terms that cannot be directly used for control design. Therefore, fuzzy logic systems are employed to approximate these nonlinear functions. Furthermore, a finite-time fuzzy adaptive cons...
This paper discusses consensus tracking issue for multi-agent systems (MASs), and the purpose is to develop a fixed-time consensus proposal by fuzzy adaptive method. To this end, we first set up a more general fixed-time stability criterion. By using the proposed stability criterion, a backstepping design procedure is presented to construct the fix...
For a class of nonstrict-feedback nonlinear large-scale systems with input delay, saturation and unknown virtual control gains, we propose a decentralized output-feedback control scheme in this paper. In the process of control design, a novel auxiliary system is proposed to overcome the difficulty caused by time-varying input delay. The convex comb...
This research mainly addresses adaptive neural fast finite-time control of nonlinear strict-feedback multi-agent systems (MASs). Compared to the previous results on finite-time control of multi-agent systems, the nonlinearities in the system under consideration are completely unknown. Furthermore, radial basis function (RBF) neural networks (NNs) a...
This paper mainly concentrates on the distributed tracking control problem for a class of uncertain nonlinear multi-agent systems with quantized input signal. Unlike the previous results on quantized control for multi-agent systems, the nonlinearities in this research can be completely unknown. To cope with these unknown nonlinearities, adaptive ne...
In this paper, an adaptive neural control issue is addressed for a class of switched unknown strict-feedback nonlinear system under constraint output, in which the input signal is quantized. The control goal is to design a quantized controller to ensure that the system’s output signal follows a given reference signal, meanwhile, the system output s...
This research is mainly concerned with the consensus tracking problem for a class of high-order non-strict feedback nonlinear multi-agent systems, in which the virtual and the actual control items of each follower dynamics are the power functions with positive odd integers rather than linear items. Due to this structural feature of the high-order s...
This paper aims to address adaptive tracking control problem of distributed multiagent systems. Differing from some existing works, each follower under consideration is modeled by a nonlinear nonstrict feedback system, especially, the virtual and real control gains are unknown functions rather than constants. To overcome the difficulty caused by th...
Citations
... At the same time, the fixed-time control can enable the system achieve rapid convergence. Due to fixed-time control method which has outstanding advantage, many experts apply it to the control problem of nonlinear systems [26][27][28][29][30]. In [26], an event-triggered fixed-time adaptive neural tracking control method is proposed for stochastic non-triangular structure nonlinear systems. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/465125338554369-1487905930586_Q64/Bing-Chen-40.jpg)
... Lemma 5 [45]: Let a > 0 be a constant and b < a, p c is an odd integer and p c > 1, the following inequality holds: ...
... For example, the input delay issue was discussed for discrete time systems [31], high-order nonlinear systems [32], nonlinear strict-feedback systems [33], and nonlinear stochastic systems [34]. More recently, for a class of large-scale nonlinear systems subject to input delay, the authors in [35] proposed a new output-based decentralized tracking control approach. For a class of switched large-scale nonlinear systems subject to input delay, the authors in [36] developed a commandfiltered backstepping-based adaptive fuzzy decentralized event-triggered control scheme. ...
... In fact, regarding the actual requirement, the control goal is expected to be achieved in finite time, which promotes the development of finite-time stability theory [28,29]. As a more general notion, practical finite-time stability was proposed by Zhu et al. in [30], and some significant results about practical finitetime stability have emerged [31][32][33]. For example, a criterion for practical finite-time stability was developed in [31]; then, the authors designed a finite-time adaptive control scheme for a class of nonlinear systems by using a command filter technique. ...
... During the last decade, with the fast developments of communication and control technologies [1], [2], [3], [4], the distributed coordination and control of multi-agent systems (MASs) have been very popular and attracted the attention of researchers in various fields such as formation of mobile vehicles, co-operative control of robots, flocking behaviour, data fusion of sensor networks , and so on [5], [6], [7], [8], [9]. A widely investigated problem in the area of distributed control is the consensus problem. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/637229361790981-1528938727540_Q64/Zhiliang-Liu.jpg)
... The state trajectories of a practical system may not be allowed to enter some unsafe regions due to mechanical or electrical constraints or other considerations. For example, the rotor angular velocity and the armature current of a motor control system should be constrained by the inherent properties of the motor [8], and the angle and angular velocity of a robot arm also need to be restricted for safety consideration [14]. Considering state constraints in event-triggered control problems is meaningful. ...
... By utilizing the distributed integrator backstepping approach, the boundness of the closed-loop system for multiple strict-feedback stochastic nonlinear systems under a directed leader-followers type communication graph is achieved in [29]. In [30], a neural adaptive tracking control scheme is employed to nonstrict feedback nonlinear MASs. A distributed low-complexity control strategy is proposed in [26] to guarantee consensus tracking performance of uncertain heterogenous power-chained MASs. ...
... M denotes the number of the nodes of the neural network. In this article, based on the discussions in [38], we choose Gaussian functions as the basis function, as in most existing works [2], [39], [40], where ...
