Distributed Adaptive Output Feedback Leader-Following Consensus Control for Nonlinear Multiagent Systems

This paper investigates the problem of the distributed adaptive output feedback leader-following consensus control for a class of high-order nonlinear multiagent systems with unknown parameters and nonlinear terms. First, the reduced order dynamic gain ${k}$ -filters are built to estimate the unmeasured state variables. The bounds of the unknown parameters are estimated in order to avoid the over-estimation problem. Then, the dynamic surface control technique is used to design the distributed controller, and the computation load of the system is greatly reduced. Finally, a numerical example is shown to verify the effectiveness of the designed controller.

[1]  Shaocheng Tong,et al.  Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays , 2015, Inf. Sci..

[2]  Maurizio Porfiri,et al.  Tracking and formation control of multiple autonomous agents: A two-level consensus approach , 2007, Autom..

[3]  Zhaoxu Yu,et al.  Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions , 2014, Neurocomputing.

[4]  Wei Wang,et al.  Distributed adaptive asymptotically consensus tracking control of nonlinear multi-agent systems with unknown parameters and uncertain disturbances , 2017, Autom..

[5]  Wei Wang,et al.  Hierarchical Decomposition Based Consensus Tracking for Uncertain Interconnected Systems via Distributed Adaptive Output Feedback Control , 2016, IEEE Transactions on Automatic Control.

[6]  Randal W. Beard,et al.  A coordination architecture for spacecraft formation control , 2001, IEEE Trans. Control. Syst. Technol..

[7]  Chuan Chen,et al.  Finite-time synchronization of memristor-based neural networks with mixed delays , 2017, Neurocomputing.

[8]  Ji-Feng Zhang,et al.  Distributed practical output tracking of high-order stochastic multi-agent systems with inherent nonlinear drift and diffusion terms , 2014, Autom..

[9]  Swaroop Darbha,et al.  Dynamic surface control for a class of nonlinear systems , 2000, IEEE Trans. Autom. Control..

[10]  Sung Jin Yoo,et al.  Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[11]  Guang-Hong Yang,et al.  Cooperative adaptive output feedback control for nonlinear multi-agent systems with actuator failures , 2016, Neurocomputing.

[12]  Peng Shi,et al.  Output Consensus Control of Multiagent Systems With Unknown Nonlinear Dead Zone , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Changchun Hua,et al.  Decentralized output feedback control of interconnected stochastic nonlinear time-delay systems with dynamic interactions , 2017, Neurocomputing.

[14]  Xin-Ping Guan,et al.  Distributed Adaptive Neural Network Output Tracking of Leader-Following High-Order Stochastic Nonlinear Multiagent Systems With Unknown Dead-Zone Input , 2017, IEEE Transactions on Cybernetics.

[15]  Lixiang Li,et al.  Finite-time stability analysis for neutral-type neural networks with hybrid time-varying delays without using Lyapunov method , 2017, Neurocomputing.

[16]  Chuan Chen,et al.  Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay , 2017, Neural Networks.

[17]  Vijay Kumar,et al.  Trajectory design for formations of robots by kinetic energy shaping , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[18]  Jinde Cao,et al.  A Distributed Finite-Time Consensus Algorithm for Higher-Order Leaderless and Leader-Following Multiagent Systems , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[19]  Guanghui Wen,et al.  Distributed Robust Fixed-Time Consensus for Nonlinear and Disturbed Multiagent Systems , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[20]  C. L. Philip Chen,et al.  Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis , 2016, IEEE Transactions on Fuzzy Systems.

[21]  Dong Yue,et al.  Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies , 2016, Neurocomputing.

[22]  Sung Jin Yoo,et al.  Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form , 2013, Autom..

[23]  Bing Chen,et al.  Adaptive neural tracking control for a class of stochastic nonlinear systems , 2014 .

[24]  Yan Lin,et al.  Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems , 2015, Autom..

[25]  C. L. Philip Chen,et al.  A Collaborative Fuzzy Clustering Algorithm in Distributed Network Environments , 2014, IEEE Transactions on Fuzzy Systems.

[26]  Dong Wang,et al.  Cooperative Containment Control of Multiagent Systems Based on Follower Observers With Time Delay , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[27]  Jie Huang,et al.  Cooperative output regulation of linear multi-agent systems by output feedback , 2012, Syst. Control. Lett..

[28]  Yan Lin,et al.  Adaptive output feedback tracking for a class of nonlinear systems , 2012, Autom..

[29]  Changchun Hua,et al.  Output Feedback Distributed Containment Control for High-Order Nonlinear Multiagent Systems , 2017, IEEE Transactions on Cybernetics.