Fixed time output feedback containment for uncertain nonlinear multiagent systems with switching communication topologies.

This paper presents a fixed time containment protocol within output feedback framework for uncertain nonlinear multiagent systems (MASs) exposed to unknown leader dynamics under switching communication topologies. To characterize dynamic communication links among agents in uncertain environments, a Markov jumping process with partially known transition probability is introduced to circumvent the difficulties of requiring the exact elements of transition rates as a prior. Then, in order to eliminate the necessity of broadcasting local velocity states between neighboring agents over the wireless and reject the comprehensive uncertainties including unknown model nonlinearities, external disturbances as well as switching topology jumps, a fixed time extended state observer (FTESO) only using the relative position information as input data is established for follower agents to achieve a uniform fast and precise estimation capability. A fixed time output feedback containment protocol by means of observer is presented to ensure that individual follower is guided into the geometric area constituted by a fleet of unknown leaders with a consistent convergence time irrelevant of initial conditions. The outstanding features of the developed algorithm are threefold: First, a prescribed fixed time containment consensus with reduced communication burden and enhanced robustness can be implemented. Second, a Markov jumping process with a partially known transition probability is considered to stimulate switching communication topologies. Third, a FTESO is constructed for each agent to realize a fixed-time estimation without requiring accurate modeling information. Finally, the fixed time stabilization of cascaded system is illuminated by applying the Lyapunov-based methods and bi-limit homogeneity. Simulation examples validate the feasibility and strengths of developed control protocol.

[1]  Zhang Ren,et al.  Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying , 2017, IEEE Transactions on Industrial Electronics.

[2]  Jian Liu,et al.  Fixed-Time Leader-Following Consensus for Second-Order Multiagent Systems With Input Delay , 2017, IEEE Transactions on Industrial Electronics.

[3]  Tieshan Li,et al.  Prescribed Performance Adaptive Fuzzy Containment Control for Nonlinear Multiagent Systems Using Disturbance Observer , 2020, IEEE Transactions on Cybernetics.

[4]  Muhammad Rehan,et al.  Adaptive Distributed Consensus Control of One-Sided Lipschitz Nonlinear Multiagents , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Yonghui Sun,et al.  A novel hybrid scheme for fixed-time SOSM control of nonlinear uncertain systems subject to mismatched terms , 2020, Appl. Math. Comput..

[6]  Lihua Xie,et al.  Containment control of leader-following multi-agent systems with Markovian switching network topologies and measurement noises , 2015, Autom..

[7]  Yongduan Song,et al.  Fraction Dynamic-Surface-Based Neuroadaptive Finite-Time Containment Control of Multiagent Systems in Nonaffine Pure-Feedback Form , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[8]  Leonid M. Fridman,et al.  Robust exact uniformly convergent arbitrary order differentiator , 2013, Autom..

[9]  Zhanshan Wang,et al.  Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults , 2020, IEEE Transactions on Cybernetics.

[10]  Chaoyang Dong,et al.  Time-varying formation control for unmanned aerial vehicles with external disturbances , 2019 .

[11]  Qing-Long Han,et al.  Consensus of Multiagent Systems Subject to Partially Accessible and Overlapping Markovian Network Topologies , 2017, IEEE Transactions on Cybernetics.

[12]  Ella M. Atkins,et al.  Distributed multi‐vehicle coordinated control via local information exchange , 2007 .

[13]  Yang Wei,et al.  Estimator-based MLP neuroadaptive dynamic surface containment control with prescribed performance for multiple quadrotors , 2020 .

[14]  Xingling Shao,et al.  Neurodynamic Formation Maneuvering Control With Modified Prescribed Performances for Networked Uncertain Quadrotors , 2021, IEEE Systems Journal.

[15]  Jiong Jin,et al.  Distributed Fixed‐Time Coordinated Tracking for Nonlinear Multi‐Agent Systems Under Directed Graphs , 2018 .

[16]  Yi Shi,et al.  Neural Adaptive Control for MEMS Gyroscope With Full-State Constraints and Quantized Input , 2020, IEEE Transactions on Industrial Informatics.

[17]  D. Ye,et al.  Observer-based distributed adaptive fault-tolerant containment control of multi-agent systems with general linear dynamics. , 2017, ISA transactions.

[18]  Chuanjiang Li,et al.  Distributed finite‐time containment control for multiple Euler‐Lagrange systems with communication delays , 2018, International Journal of Robust and Nonlinear Control.

[19]  Xingling Shao,et al.  High-order ESO based output feedback dynamic surface control for quadrotors under position constraints and uncertainties , 2019, Aerospace Science and Technology.

[20]  Xingling Shao,et al.  Input-and-measurement event-triggered control for flexible air-breathing hypersonic vehicles with asymmetric partial-state constraints , 2020 .

[21]  Guanghui Wen,et al.  Distributed Robust Global Containment Control of Second-Order Multiagent Systems With Input Saturation , 2019, IEEE Transactions on Control of Network Systems.

[22]  Xingling Shao,et al.  Fuzzy wavelet neural control with improved prescribed performance for MEMS gyroscope subject to input quantization , 2020, Fuzzy Sets Syst..

[23]  Gang Tao,et al.  A novel nonlinear resilient control for a quadrotor UAV via backstepping control and nonlinear disturbance observer , 2016, Nonlinear Dynamics.

[24]  Yao Yu,et al.  Fixed-Time Event-Triggered Consensus for Nonlinear Multiagent Systems Without Continuous Communications , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[25]  Aytac Altan,et al.  Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances , 2020 .

[26]  Xinghuo Yu,et al.  Output Containment Control for Heterogeneous Linear Multiagent Systems With Fixed and Switching Topologies , 2019, IEEE Transactions on Cybernetics.

[27]  Yao Zhang,et al.  Fixed-Time Sliding Mode Control and High-Gain Nonlinearity Compensation for Dual-Motor Driving System , 2020, IEEE Transactions on Industrial Informatics.

[28]  Yi Shi,et al.  Neurodynamic Approximation-Based Quantized Control With Improved Transient Performances for Microelectromechanical System Gyroscopes: Theory and Experimental Results , 2021, IEEE Transactions on Industrial Electronics.

[29]  Zhengtao Ding,et al.  Fixed-Time Consensus Tracking for Multiagent Systems With High-Order Integrator Dynamics , 2018, IEEE Transactions on Automatic Control.

[30]  Yongduan Song,et al.  Distributed Adaptive Finite-Time Approach for Formation–Containment Control of Networked Nonlinear Systems Under Directed Topology , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Xiaowu Mu,et al.  H∞ leader-following consensus of nonlinear multi-agent systems under semi-Markovian switching topologies with partially unknown transition rates , 2020, Inf. Sci..

[32]  Pedro Albertos,et al.  Predictor-Based Control of a Class of Time-Delay Systems and Its Application to Quadrotors , 2017, IEEE Transactions on Industrial Electronics.

[33]  Guo-Xing Wen,et al.  Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[34]  Xingling Shao,et al.  Fixed-time trajectory following for quadrotors via output feedback. , 2020, ISA transactions.

[35]  Chuanjiang Li,et al.  Formation-containment control of networked Euler-Lagrange systems: An event-triggered framework. , 2019, ISA transactions.

[36]  Xingling Shao,et al.  Event-triggered neural intelligent control for uncertain nonlinear systems with specified-time guaranteed behaviors , 2020, Neural Computing and Applications.

[37]  Shaocheng Tong,et al.  Adaptive Fuzzy Containment Control of Nonlinear Systems With Unmeasurable States , 2019, IEEE Transactions on Cybernetics.

[38]  Xinping Guan,et al.  Distributed Output-Feedback Consensus Control for Nonlinear Multiagent Systems Subject to Unknown Input Delays , 2020, IEEE Transactions on Cybernetics.

[39]  Wen Yang,et al.  Fixed-Time Leader–Follower Output Feedback Consensus for Second-Order Multiagent Systems , 2019, IEEE Transactions on Cybernetics.

[40]  Yuan-Hua Ni,et al.  Fully distributed containment control for second-order multi-agent systems with communication delay. , 2020, ISA transactions.

[41]  Yunliang Wei,et al.  Finite-time synchronization for complex dynamic networks with semi-Markov switching topologies: An H∞ event-triggered control scheme , 2019, Appl. Math. Comput..

[42]  Junkang Ni Fixed-time terminal sliding mode tracking protocol design for high-order multiagent systems with directed communication topology. , 2020, ISA transactions.

[43]  Feiqi Deng,et al.  Necessary and Sufficient Conditions for Consensus of Continuous-Time Multiagent Systems With Markovian Switching Topologies and Communication Noises , 2020, IEEE Transactions on Cybernetics.

[44]  Jinzhi Wang,et al.  Robust finite-time containment control of general linear multi-agent systems under directed communication graphs , 2016, J. Frankl. Inst..

[45]  Gang Feng,et al.  Adaptive Output Regulation of Heterogeneous Multiagent Systems Under Markovian Switching Topologies , 2018, IEEE Transactions on Cybernetics.

[46]  Hua Li,et al.  Fixed‐Time Synchronization of a Class of Second‐Order Nonlinear Leader‐Following Multi‐Agent Systems , 2018 .

[47]  Liang Sun,et al.  Adaptive fixed-time trajectory tracking control of a stratospheric airship. , 2018, ISA transactions.

[48]  Jun Zhang,et al.  Fixed-time attitude stabilization for a rigid spacecraft. , 2020, ISA transactions.

[49]  Hongbin Wang,et al.  Distributed formation control for multiple quadrotor UAVs under Markovian switching topologies with partially unknown transition rates , 2019, J. Frankl. Inst..

[50]  Xiaowu Mu,et al.  Containment control of stochastic multiagent systems with semi‐Markovian switching topologies , 2019, International Journal of Robust and Nonlinear Control.

[51]  Andrey Polyakov,et al.  Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems , 2012, IEEE Transactions on Automatic Control.

[52]  Shengyuan Xu,et al.  Global Fixed-Time Consensus Tracking of Nonlinear Uncertain Multiagent Systems With High-Order Dynamics , 2020, IEEE Transactions on Cybernetics.

[53]  Hao Wang,et al.  Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders , 2015, Inf. Sci..

[54]  Chong Shen,et al.  Robust dynamic surface trajectory tracking control for a quadrotor UAV via extended state observer , 2018 .

[55]  Dan Zhang,et al.  Containment Control of Linear Multiagent Systems With Aperiodic Sampling and Measurement Size Reduction , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[56]  Dan Ye,et al.  Time-varying formation tracking control for high-order nonlinear multi-agent systems in fixed-time framework , 2020, Appl. Math. Comput..

[57]  Wei Wang,et al.  Distributed Adaptive Containment Control for a Class of Nonlinear Multiagent Systems With Input Quantization , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[58]  Zhengtao Ding,et al.  Second-order event-triggered adaptive containment control for a class of multi-agent systems. , 2019, ISA transactions.

[59]  Yun Zhang,et al.  Consensus of High-Order Nonlinear Multiagent Systems with Constrained Switching Topologies , 2017, Complex..

[60]  Xingling Shao,et al.  Neural observer-based quantized output feedback control for MEMS gyroscopes with guaranteed transient performance , 2020 .

[61]  Haipeng Pan,et al.  Consensus via event-triggered strategy of nonlinear multi-agent systems with Markovian switching topologies. , 2019, ISA transactions.