Yu-Ping Tian

Southeast University (China), Nan-ching-hsü, Jiangxi Sheng, China

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Publications (60)71.38 Total impact

  • Yang-Yang CHEN, Yu-Ping TIAN
    ACTA AUTOMATICA SINICA 12/2010; 35(12):1541-1549.
  • Ya Zhang, Yu-Ping Tian
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    ABSTRACT: This article studies the consensus problem for a group of sampled-data general linear dynamical agents over random communication networks. Dynamic output feedback protocols are applied to solve the consensus problem. When the sampling period is sufficiently small, it is shown that as long as the mean topology has globally reachable nodes, the mean square consensus can be achieved by selecting protocol parameters so that n − 1 specified subsystems are simultaneously stabilised. However, when the sampling period is comparatively large, it is revealed that differing from low-order integrator multi-agent systems the consensus problem may be unsolvable. By using the hybrid dynamical system theory, an allowable upper bound of sampling period is further proposed. Two approaches to designing protocols are also provided. Simulations are given to illustrate the validity of the proposed approaches.
    International Journal of Control 11/2010; 83(11):2368-2377. · 1.14 Impact Factor
  • Ya Zhang, Yu-Ping Tian
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    ABSTRACT: The consensus problem is considered for a team of second-order mobile agents communicating via a network with noise, variable delays and occasional packet losses. A queuing mechanism is applied and the switching process of the interaction topology of the network is modeled as a Bernoulli random process. In such a framework, a necessary and sufficient condition is presented for the mean-square robust consensus. Moreover, a necessary and sufficient condition of the solvability of the mean-square robust consensus problem is established. An approach to designing consensus protocol is proposed and numerical examples are given to illustrate the results.
    IEEE Transactions on Automatic Control 05/2010; · 3.17 Impact Factor
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    Jiandong Zhu, Yu-Ping Tian, Jing Kuang
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    ABSTRACT: In this paper, a general consensus protocol is considered for multi-agent systems with double-integrator dynamics. The advantage of this protocol is that different consensus dynamics including linear, periodic and positive exponential dynamics can be realized by choosing different gains. Necessary and sufficient conditions for solving the consensus problem with the considered general protocol are obtained, namely, all the gains realizing the consensus can be described. The design method of the consensus protocol is constructively given. Moreover, a periodic consensus protocol is obtained as a special case and it is revealed that the maximum convergence speed can be achieved by choosing suitable gains.
    Linear Algebra and its Applications 08/2009; · 0.98 Impact Factor
  • Cheng-Lin Liu, Yu-Ping Tian
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    ABSTRACT: In this article, the formation control is investigated for a network of second-order dynamic agents with heterogeneous communication delays. The desired stationary formation is achieved by introducing diverse self-delay for each agent. In addition, a delay-dependent formation control algorithm is proposed to achieve the desired moving formation. Based on the frequency-domain analysis and matrix theory, sufficient conditions are obtained for the multi-agent systems asymptotically converging to desired stationary and moving formations, respectively. Simulation results illustrate the correctness of the results.
    International Journal of Systems Science 06/2009; 40:627-636. · 1.58 Impact Factor
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    Yang‐Yang Chen, Yu-Ping Tian
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    ABSTRACT: This paper deals with a directed formation control problem of three agents moving in the plane, where the agents have a cyclic ordering with each one required to maintain a nominated distance from its neighbor, and each agent is described by a double integrator. Firstly, a directed formation control law based on the knowledge only of the neighbor's direction is designed by using the integrator backstepping technique, which can not only accomplish the desired triangle formation but also ensure that speeds of all agents converge to a common value without collision between each other during the motion. Then, with the purpose of relaxing and even overcoming the restriction of initial conditions of the agents owing to collision avoidance, we introduce the inter-agent potential functions into the design. The convergence of the proposed control algorithms is proved by using tools from LaSalle's invariance principle. Simulation results are provided to illustrate the effectiveness of the control laws. Copyright © 2008 John Wiley & Sons, Ltd.
    International Journal of Robust and Nonlinear Control 05/2009; 19(7):729 - 745. · 1.90 Impact Factor
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    Ya Zhang, Yu-Ping Tian
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    ABSTRACT: This paper studies the mean square consentability problem for a network of double-integrator agents with stochastic switching topology. It is proved that in Markov-switching topologies, the network is mean square consentable under linear consensus protocol if and only if the union of graphs in the switching topology set has globally reachable nodes. A necessary and sufficient condition of the mean square consensus is obtained. Finally, an LMI approach to the design of the consensus protocol is presented. Numerical simulations are given to illustrate the results.
    Automatica 05/2009; · 3.13 Impact Factor
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    Yu-Ping Tian, Cheng-Lin Liu
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    ABSTRACT: The consensus problem of second-order multi-agent systems with diverse input delays is investigated. Based on the frequency-domain analysis, decentralized consensus conditions are obtained for the multi-agent system with symmetric coupling weights. Then, the robustness of the symmetric system with asymmetric perturbation is studied. A bound of the largest singular value of the perturbation matrix is obtained as the robust consensus condition. Simulation examples illustrate the design procedure of consensus protocols and validate the correctness of the results.
    Automatica 05/2009; · 3.13 Impact Factor
  • Yu-Ping Tian, Cheng-Lin Liu
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    ABSTRACT: The consensus problem for multi-agent systems with input and communication delays is studied based on the frequency-domain analysis. Two decentralized consensus conditions are obtained, one of which is given for the systems based on undirected graphs with diverse input delays and the other is for the systems based on directed graphs with diverse communication delays and input delays. For the systems with both communication delays and input delays, the consensus condition is dependent on input delays but independent of communication delays.
    IEEE Transactions on Automatic Control 11/2008; · 3.17 Impact Factor
  • Jiandong Zhu, Yu-Ping Tian
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    ABSTRACT: In this paper, the stabilizability problem via a generalized delayed feedback control (GDFC) for uncontrollable discrete systems is addressed. For single-input uncontrollable systems, a necessary and sufficient condition of stabilizability via the GDFC is obtained, which completely describes the limitation of the GDFC. For multi-input systems, a new necessary condition is derived, which reveals the limitation of the GDFC more exactly than the odd number limitation. Moreover, for a class of nonlinear systems with uncertain parameters, a nonlinear robust GDFC is designed for the first time to stabilize the unknown fixed points associated with the uncertain parameters.
    Physica D Nonlinear Phenomena 10/2008; 237(19):2436-2443. · 1.83 Impact Factor
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    Yu-Ping Tian, Cheng-Lin Liu
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    ABSTRACT: This paper studies the consensus problem for multi-agent systems with diverse input and communication delays. Decentralized consensus conditions are obtained based on the frequency-domain analysis and matrix theory. By these conditions, to achieve consensus under large input delays, one should use small interconnection gains or have small numbers of neighbors when the graph is kept connected. For systems with diverse communication delays, a consensus protocol with unified self-delay is proposed. The obtained consensus conditions are dependent on the self-introduced delay but independent of communication delays when the digraph contains a globally reachable node.
    07/2008;
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    Cheng-Lin Liu, Yu-Ping Tian
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    ABSTRACT: In this paper, we investigate coordination of a network of second-order dynamic agents under communication delays. Based on the frequency-domain analysis and matrix theory, the necessary and sufficient conditions for the system converging to stationary consensus and dynamic consensus are obtained, respectively. The conditions depend on the communication delay, the eigenvalues of the Laplacian matrix, and the interconnection topology of the network. Moreover, we apply the consensus algorithm to the formation control of the multi-agent system with communication delays. The agents in the system can achieve arbitrary desired formation pattern, and the formation moves in a desired velocity. Simulation results illustrate the correctness of the results.
    07/2008;
  • Cheng-Lin Liu, Yu-Ping Tian
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    ABSTRACT: In this paper, a time-delayed feedback control method is applied to congestion control in order to eliminate oscillations in the Internet. The stability of the proposed control method is demonstrated based on frequency-domain analysis. The effectiveness of the method is illustrated using simulation.
    Chaos Solitons & Fractals 03/2008; 35(5):878-887. · 1.50 Impact Factor
  • Yu-Ping Tian, Ke-Cai Cao
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    ABSTRACT: Global K-exponential controllers are constructed for the tracking control problem of nonholonomic systems in chained-form whose reference targets are allowed to converge to a point exponentially. By using a novel transformation and the cascade-design method, the tracking control problem is converted into stabilization problem of two simple subsystems. Then an LMI design approach is developed for stabilizing subsystems. The assumption on the reference signal is much more relaxed than those given in the previous papers.
    American Control Conference, 2007. ACC '07; 08/2007
  • Ya Zhang, Yu-Ping Tian
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    ABSTRACT: This paper discusses the stability of discrete-time networked control systems (NCSs) in which transmission delay is a constant, packet-loss process is described by a Bernoulli model and packet dropping probability is varying and driven by a finite Markov chain. We treat the NCS as a jump linear system. By using the stochastic control theory, a necessary and sufficient condition for mean square stability is obtained. The feedback controller is constructed via solving linear matrix inequalities. Finally, a numerical example is given to show the effectiveness of the proposed approach.
    Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms 01/2007; 6(6).
  • Yu-Ping Tian, Ke‐Cai Cao
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    ABSTRACT: In this paper, the authors address the tracking problem for non-holonomic systems in chained form with target signals that may exponentially decay to zero. By introducing a time-varying co-ordinate transformation and using the cascade-design approach, smooth time-varying controllers are constructed, which render the tracking-error dynamics globally -exponentially stable. The result shows that the popular condition of persistent excitation or not converging to zero for the reference signals is not necessary even for the globally -exponential tracking of the chained-form system. The effectiveness of the proposed controller is validated by simulation of two benchmark mechanical systems under non-holonomic constraints. Copyright © 2006 John Wiley & Sons, Ltd.
    International Journal of Robust and Nonlinear Control 11/2006; 17(7):631 - 647. · 1.90 Impact Factor
  • Jiandong Zhu, Yu-Ping Tian
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    ABSTRACT: In this paper, a simple nonlinear recursive delayed feedback controller is designed for stabilizing periodic solutions of a nonlinear system. The proposed controller is constructively designed and does not inherit the odd number limitation. The stability of the periodic solution of the closed-loop system is proved rigorously. Applying the control method to chaotic systems, one can effectively control chaos.
    Circuits and Systems II: Express Briefs, IEEE Transactions on 01/2006; · 1.19 Impact Factor
  • Ya Zhang, Yu-Ping Tian, Jun Cai
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    ABSTRACT: This paper discusses the stability of discrete-time networked control systems (NCSs) over a communication network whose packet-loss process is modeled as a Bernoulli model and packet dropping probability is varying and driven by a finite Markov chain. We treat the NCS as a jump linear system. By using stochastic control theory, a necessary and sufficient condition for mean square stability is obtained. Finally, numerical examples are given to show how to use the conditions developed in this paper to study the stability of the NCSs. Simulations validate the correctness of the results
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on; 01/2006
  • Jiandong Zhu, Yu-Ping Tian
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    ABSTRACT: In this paper, the pole placement and stabilization for a class of single-input uncertain discrete systems with unknown equilibrium points is investigated. The pole-placement capability of recursive delayed feedback control is completely described. The stabilization problem is resolved by the proposed pole placement technique. Two examples show the effectiveness of the proposed method in stabilizing uncertain equilibrium points or equilibrium sets
    01/2006;
  • Ke-Cai Cao, Yu-Ping Tian
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    ABSTRACT: This paper deals with the tracking control problem for a general class of nonholonomic dynamic systems with reference signals that may exponentially decay. By introducing a time-varying coordinate transformation and using the cascade-design approach, smooth time-varying controllers are constructed, which render the tracking error dynamics globally K-exponentially stable. Obtained result shows that the popular condition of persistent-excitation or not converging to zero imposed on the reference signals is not necessary even for the globally K-exponential tracking of nonholonomic systems. Application to the tracking control of an underactuated surface vessel validates the effectiveness of the proposed method
    01/2006;

Publication Stats

983 Citations
71.38 Total Impact Points

Institutions

  • 2000–2013
    • Southeast University (China)
      Nan-ching-hsü, Jiangxi Sheng, China
  • 2006
    • Nanjing Normal University
      • School of Mathematical & Computer Science
      Nanjing, Jiangsu Sheng, China
  • 2000–2002
    • Central Queensland University
      Rockhampton, Queensland, Australia