Minyue Fu

University of Newcastle, Newcastle, New South Wales, Australia

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Publications (231)237.6 Total impact

  • Keyou You, Tianju Sui, Minyue Fu
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    ABSTRACT: In this paper, we study the mean square stability of Kalman filtering of a discrete-time stochastic system under two periodically switching sensors. The sensor measurements are sent to a remote estimator over a lossy channel whose packet loss process is independent and identically distributed. We prove that the problem can be converted into the stability analysis of Kalman filtering using two sensors at each time, and the measurements of each sensor are transmitted to the estimator via an independent lossy channel of the same packet loss rate. Some necessary and/or sufficient conditions for stability of the estimation error covariance matrices are derived. Moreover, the effect of the sensor switching on the filter stability is revealed. Their implications and relationships with related results in the literature are discussed.
    Asian Journal of Control 09/2014; · 1.41 Impact Factor
  • Source
  • Y. Diao, Z. Lin, M. Fu
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    ABSTRACT: This paper studies the problem of determining the sensor locations in a large sensor network using only relative distance (range) measurements. Based on a generalized barycentric coordinate representation, our work generalizes the DILOC algorithm to the localization problem under arbitrary deployments of sensor nodes and anchor nodes. First, a criterion and algorithm are developed to determine a generalized barycentric coordinate of a node with respect to its neighboring nodes, which do not require the node to be inside the convex hull of its neighbors. Next, for the localization problem based on the generalized barycentric coordinate representation, a necessary and sufficient condition for the localizability of a sensor network with a generic configuration is obtained. Finally, a new linear iterative algorithm is proposed to ensure distributed implementation as well as global convergence to the true coordinates.
    IEEE Transactions on Signal Processing 01/2014; 62(18):4760-4771. · 2.81 Impact Factor
  • Li Wei, Minyue Fu, Huanshui Zhang
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    ABSTRACT: In this paper, we consider the problem of quantized quadratic performance control for a class of stochastic systems, which are subject to multiplicative noises in the measurement. A dynamic output feedback controller is designed to guarantee a given level of performance. By using the sector bound approach to characterize the quantization error, the existence of a solution for the quantized quadratic performance control problem is found by solving the so-called guaranteed cost control problem of the associated system with a sector bounded uncertainty. We show that the latter problem can be solved using LMIs. Copyright © 2014 John Wiley & Sons, Ltd.
    International Journal of Robust and Nonlinear Control 01/2014; · 1.90 Impact Factor
  • Z. Lin, L. Wang, Z. Han, M. Fu
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    ABSTRACT: The paper concentrates on the fundamental coordination problem that requires a network of agents to achieve a specific but arbitrary formation shape. A new technique based on complex Laplacian is introduced to address the problems of which formation shapes specified by inter-agent relative positions can be formed and how they can be achieved with distributed control ensuring global stability. Concerning the first question, we show that all similar formations subject to only shape constraints are those that lie in the null space of a complex Laplacian satisfying certain rank condition and that a formation shape can be realized almost surely if and only if the graph modeling the inter-agent specification of the formation shape is 2-rooted. Concerning the second question, a distributed and linear control law is developed based on the complex Laplacian specifying the target formation shape, and provable existence conditions of stabilizing gains to assign the eigenvalues of the closed-loop system at desired locations are given. Moreover, we show how the formation shape control law is extended to achieve a rigid formation if a subset of knowledgable agents knowing the desired formation size scales the formation while the rest agents do not need to re-design and change their control laws.
    IEEE Transactions on Automatic Control 01/2014; 59(7):1765-1777. · 2.72 Impact Factor
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    ABSTRACT: This paper considers the average consensus problem for multi-agent systems with continuous-time first-order dynamics. Logarithmic quantization is considered in the communication channels, and continuous-time and sampled-data-based protocols are proposed. For the continuous-time protocol, we give an explicit upper bound of the consensus error in terms of the initial states, the quantization density and the parameters of the network graph. It is shown that in contrast with the case with uniform quantization, the consensus error in the logarithmic quantization case is always uniformly bounded, independent of the quantization density, and the @b-asymptotic average consensus is ensured under the proposed protocol, i.e. the asymptotic consensus error converges to zero as the sector bound @b of the logarithmic quantizer approaches zero. For the sampled-data-based protocol, we give sufficient conditions on the sampling interval to ensure the @b-asymptotic average consensus. Numerical examples are given to demonstrate the effectiveness of the protocols.
    Automatica (Journal of IFAC). 11/2013; 49(11):3329-3336.
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    ABSTRACT: This paper studies an optimal state estimation (Kalman filtering) problem under the assumption that output measurements are subject to random time delays caused by network transmissions without time stamping. We first propose a random time delay model which mimics many practical digital network systems. We then study the so-called unbiased, uniformly bounded linear state estimators and show that the estimator structure is given based on the average of all received measurements at each time for different maximum time delays. The estimator gains can be derived by solving a set of recursive discrete-time Riccati equations. The estimator is guaranteed to be optimal in the sense that it is unbiased with uniformly bounded estimation error covariance. A simulation example shows the effectiveness of the proposed algorithm.Copyright © 2013 John Wiley & Sons, Ltd.
    International Journal of Robust and Nonlinear Control 05/2013; · 1.90 Impact Factor
  • Source
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    ABSTRACT: This paper studies the problem of determining the sensor locations in a large sensor network using relative distance (range) measurements only. Our work follows from a seminal paper by Khan et al. [1] where a distributed algorithm, known as DILOC, for sensor localization is given using the barycentric coordinate. A main limitation of the DILOC algorithm is that all sensor nodes must be inside the convex hull of the anchor nodes. In this paper, we consider a general sensor network without the convex hull assumption, which incurs challenges in determining the sign pattern of the barycentric coordinate. A criterion is developed to address this issue based on available distance measurements. Also, a new distributed algorithm is proposed to guarantee the asymptotic localization of all localizable sensor nodes.
    01/2013;
  • Jinchuan Zheng, Minyue Fu
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    ABSTRACT: This brief studies fast tracking control of piezoelectric (PZT) actuators. Adverse effects associated with the PZT actuators typically include the nonlinear dynamics of hysteresis and saturation and the linear vibrational dynamics. To eliminate the loss of performance due to these effects, we propose a new control scheme for the PZT actuators. It consists of a combined feedforward/feedback compensator for hysteresis and resonance compensation and a nested switching controller (NSC) that optimizes a quadratic performance cost function involving the actuator saturation. The NSC not only can guarantee the system stability in the presence of saturation but also can improve the tracking speed by efficiently allocating the control efforts. The experimental results on an actual PZT nanopositioner show that the new control scheme outperforms the conventional control by more than 12% in settling time within the full PZT operational range and with nanoscale precision.
    IEEE Transactions on Control Systems Technology 01/2013; 21(1):220-228. · 2.52 Impact Factor
  • Zhiyun Lin, Zhiyong Chen, Minyue Fu
    Proceedings of the 52th IEEE Conference on Decision and Control; 01/2013
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    ABSTRACT: The distributed circumnavigation problem, in which the task is to circumnavigate a target of interest by a network of autonomous agents, has many applications in security and surveillance, orbit maintenance, source seeking, etc. This paper deals with the circumnavigation problem using a team of non-holonomic unicycles. A novel distributed solution is proposed based on cyclic repelling strategies to achieve a circular motion around a target in a circular formation. This new approach considers minimum number of information flow links and local measurements only, yet a uniform distribution of unicycles rotated around the target is accomplished. The asymptotic collective behavior is analyzed based on the block diagonalization of circulant matrices by a Fourier transform. Simulation results also verify the validity of the proposed control algorithm.
    Proceedings of the 9th Asia Control Conference; 01/2013
  • Guofei Chai, Zhiyun Lin, Minyue Fu
    Proceedings of the 32nd Chinese Control Conference; 01/2013
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    ABSTRACT: This paper focuses on the aggregated control of a large number of residential responsive loads for various demand response applications. We propose a general hybrid system model which can capture the dynamics of both Thermostatically Controlled Loads (TCLs) such as air conditioners and water heaters, as well as deferrable loads such as washers, dryers, and Plug-in Hybrid Electric Vehicles (PHEVs). Based on the hybrid system model, the aggregated control problem is formulated as a large scale optimal control problem that determines the energy use plans for a heterogeneous population of hybrid systems. A decentralized cooperative control algorithm is proposed to solve the aggregated control problem. Convergence of the proposed algorithm is proved using potential game theory. The simulation results indicate that the aggregated power response can accurately track a reference trajectory and effectively reduce the peak power consumption.
    Proceedings of the 2013 American Control Conference; 01/2013
  • Li Wang, Jinchuan Zheng, Minyue Fu
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    ABSTRACT: This paper proposes an optimal preview control law for a dual-stage actuators (DSA) system to track triangular references, which is essential in many raster scan motion control applications. The main difficulty of tracking triangular reference is to follow the waveform fast and accurately when its slope switches. For this goal, we first present a non-preview time optimal control for the primary stage, which is proved to have the minimal overshoot. This result is a new contribution to DSA control because it leads to a minimal reference profile for secondary stage to follow and thus significantly prevents the saturation of the secondary actuator. Next, we propose an optimal preview control with the use of the information of the future references to further reduce the settling time and the overshoot. Finally, the secondary actuator controller is also given. Simulated results are shown to verify the effectiveness of the proposed control design.
    Control and Automation (ICCA), 2013 10th IEEE International Conference on; 01/2013
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    ABSTRACT: The discrete-time state estimation problem is studied for networked control systems subject to random network delays without time stamping. A new time delay model is presented which allows the transmitted data to be received in bursts. Under the assumption that the data bursts are not out of order, we derive the optimal linear estimator which guarantees an unbiased estimate with minimum and uniformly bounded estimation error covariance. The estimator gains can be derived by solving a set of recursive discrete-time Riccati equations. A simulation example shows the effectiveness of the proposed algorithm.
    Control Conference (ASCC), 2013 9th Asian; 01/2013
  • Tianju Sui, Keyou You, Minyue Fu
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    ABSTRACT: This paper studies the state estimation problem of a stochastic discrete-time system over a lossy channel. The packet loss is modeled as an independent and identically distributed (i.i.d.) binary process. To reduce the effect of the random packet losses on the stability of the minimum mean square error estimator, we propose a linear coding method on the measurement of the system. In particular, the linear combination of the current and finite previous measurements is to be transmitted to the estimator over the lossy channel. Some necessary and sufficient conditions for the stability of the estimator are established, and the advantage of the linear coding method is exploited.
    Control and Automation (ICCA), 2013 10th IEEE International Conference on; 01/2013
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    ABSTRACT: This paper considers the stability of Kalman filtering of a discrete-time stochastic system using two periodically switching sensors over a network subject to random packet losses, which is modeled by an independent and identically distributed Bernoulli process. It is proved that this problem can be converted into the stability of Kalman filtering using two sensors at each time instant, where the measurements of each sensor are transmitted via an independent lossy channel. Some necessary and sufficient conditions for stability of the estimation error covariance matrices are respectively established, and the effect of the periodic switching on the stability is revealed. Their implications and relationships with related results in the literature are discussed.
    Control and Automation (ICCA), 2013 10th IEEE International Conference on; 01/2013
  • Li Wei, Huanshui Zhang, Minyue Fu
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    ABSTRACT: This paper considers the problem of quadratic mean‐square stabilization of a class of stochastic linear systems using quantized state feedback. Different from the previous works where the system is restricted to be deterministic, we focus on stochastic systems with multiplicative noises in both the system matrix and the control input. A static quantizer is used in the feedback channel. It is shown that the coarsest quantization density that permits stabilization of a stochastic system with multiplicative noises in the sense of quadratic mean‐square stability is achieved with the use of a logarithmic quantizer, and the coarsest quantization density is determined by an algebraic Riccati equation, which is also the solution to a special stochastic linear control problem. Our work is then extended to exponential quadratic mean‐square stabilization of the same class of stochastic systems. Copyright © 2011 John Wiley & Sons, Ltd.
    International Journal of Robust and Nonlinear Control 01/2013; 23(6). · 1.90 Impact Factor
  • Xin Tai, Zhiyun Lin, Minyue Fu
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    ABSTRACT: The paper develops a new distributed state estimation technique for power networks. This distributed state estimator aims to provide the same optimal estimate as the centralized one via a small amount information exchange between neighbors, which are physically in parallel with the partition of power networks. Moreover, we show that the distributed state estimator converges to the optimal estimate in a finite number of iterations depending on the size of the abstract graph. Both rigorous analysis and simulations are provided to show the correctness.
    Proceedings of the 2013 American Control Conference; 01/2013
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    ABSTRACT: Preview Control for Dual-Stage Actuators (DSA) consists in allowing movement of the slow actuator while maintaining the system output at the reference point. This strategy is possible only if the fast actuator is able to compensate the movement of the slow one. The advantages of this control scheme are related to an improvement on the settling time of the output, a consequence of the fact that the slow actuator is allowed to move ahead of the reference transition time. This paper will discuss fundamental limitations that constrain the trajectories of the primary actuator to a feasible set, i.e., a set whose trajectories the secondary actuator is able to effectively compensate. From this initial discussion optimal trajectories will be devised via quadratic programming. Experimental results show the effectiveness of the proposed design.
    American Control Conference (ACC), 2013; 01/2013

Publication Stats

2k Citations
237.60 Total Impact Points

Institutions

  • 1991–2014
    • University of Newcastle
      • • School of Electrical Engineering and Computer Science
      • • Centre for Complex Dynamic Systems and Control
      • • Department of Electrical Engineering
      Newcastle, New South Wales, Australia
  • 2011
    • Chinese Academy of Sciences
      • Key Laboratory of Systems and Control
      Peping, Beijing, China
  • 2009–2011
    • Zhejiang University
      • Department of Control Science and Engineering
      Hangzhou, Zhejiang Sheng, China
    • University of Vienna
      • Numerical Harmonic Analysis Group
      Vienna, Vienna, Austria
  • 2010
    • Shandong University
      • School of Control Science and Engineering
      Jinan, Shandong Sheng, China
    • Northeast Institute of Geography and Agroecology
      • Academy of Mathematics and Systems Science
      Beijing, Beijing Shi, China
  • 2004–2009
    • Nanyang Technological University
      • School of Electrical and Electronic Engineering
      Tumasik, Singapore
    • National ICT Australia Ltd
      Sydney, New South Wales, Australia
  • 2008
    • Pontifícia Universidade Católica do Rio Grande do Sul
      Pôrto de São Francisco dos Casaes, Rio Grande do Sul, Brazil
  • 2006
    • Australian National University
      Canberra, Australian Capital Territory, Australia
  • 1997–2006
    • Newcastle University
      Newcastle-on-Tyne, England, United Kingdom
    • ENSTA Bretagne
      Brest, Brittany, France
  • 2003
    • Federal University of Santa Catarina
      Nossa Senhora do Destêrro, Santa Catarina, Brazil
  • 1994–2002
    • University of Iowa
      • Department of Electrical and Computer Engineering
      Iowa City, IA, United States
  • 1996
    • University of South Australia 
      • School of Information Technology and Mathematical Sciences
      Adelaide, South Australia, Australia
    • Illinois Institute of Technology
      • Department of Electrical & Computer Engineering
      Chicago, IL, United States