Bilateral Teleoperation of Single-Master Multislave Systems With Semi-Markovian Jump Stochastic Interval Time-Varying Delayed Communication Channels

Communication time delays in a bilateral teleoperation system often carries a stochastic nature, particularly when we have multiple masters or slaves. In this paper, we tackle the problem for a single-master multislave (SMMS) teleoperation system by assuming an asymmetric and semi-Markovian jump protocol for communication of the slaves with the master under time-varying transition rates. A nonlinear robust controller is designed for the system that guarantees its global robust ${H_{\infty}} $ stochastic stability in the sense of the Lyapunov theory. Employing the nonlinear feedback linearization technique, the dynamics of the closed-loop teleoperator is decoupled into two interconnected subsystems: 1) master–slave tracking dynamics (coordination) and 2) multislave synchronization dynamics. Employing an improved reciprocally convex combination technique, the stability analysis of the closed-loop teleoperator is conducted using the Lyapunov–Krasovskii methodology, and the stability conditions are expressed in the form of linear matrix inequalities that can be solved efficiently using numerical algorithms. Numerical studies and simulation results validate the effectiveness of the proposed controller design algorithm in both tracking and synchronization performance of the SMMS system, and robustly handling the stochastic and nondifferentiable nature of communication delays.

[1]  Mark W. Spong,et al.  Bilateral teleoperation: An historical survey , 2006, Autom..

[2]  Anas Abou El Kalam,et al.  Bilateral Teleoperation System Using QoS and Secure Communication Networks for Telemedicine Applications , 2016, IEEE Systems Journal.

[3]  Zhijun Li,et al.  Motion synchronisation of bilateral teleoperation systems with mode-dependent time-varying communication delays , 2010 .

[4]  Yang Cao,et al.  An event-triggered synchronization of semi-Markov jump neural networks with time-varying delays based on generalized free-weighting-matrix approach , 2017, Math. Comput. Simul..

[5]  Qing-Guo Wang,et al.  Delay-range-dependent stability for systems with time-varying delay , 2007, Autom..

[6]  Ligang Wu,et al.  Stochastic stability of semi‐Markovian jump systems with mode‐dependent delays , 2014 .

[7]  Yuanqing Xia,et al.  Adaptive neural network control of bilateral teleoperation with unsymmetrical stochastic delays and unmodeled dynamics , 2014 .

[8]  Saeid Nahavandi,et al.  Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[9]  PooGyeon Park,et al.  Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..

[10]  Ju H. Park,et al.  Reliable mixed H∞/passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach , 2017, Fuzzy Sets Syst..

[11]  Antonio Franchi,et al.  Bilateral Teleoperation of Groups of Mobile Robots With Time-Varying Topology , 2012, IEEE Transactions on Robotics.

[12]  Fazel Naghdy,et al.  Neural Network-Based Passivity Control of Teleoperation System Under Time-Varying Delays , 2017, IEEE Transactions on Cybernetics.

[13]  Ya-Jun Pan,et al.  Bilateral Teleoperation With Time-Varying Delay: A Communication Channel Passification Approach , 2013, IEEE/ASME Transactions on Mechatronics.

[14]  Xin-Ping Guan,et al.  Finite Time Control Design for Bilateral Teleoperation System With Position Synchronization Error Constrained , 2016, IEEE Transactions on Cybernetics.

[15]  R. Rakkiyappan,et al.  Stability analysis of nonlinear telerobotic systems with time-varying communication channel delays using general integral inequalities , 2018, Inf. Sci..

[16]  Weisheng Yan,et al.  Mutual Synchronization of Multiple Robot Manipulators with Unknown Dynamics , 2012, J. Intell. Robotic Syst..

[17]  Chun-Yi Su,et al.  Neural-Adaptive Control of Single-Master–Multiple-Slaves Teleoperation for Coordinated Multiple Mobile Manipulators With Time-Varying Communication Delays and Input Uncertainties , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Xianwen Gao,et al.  Time-delay compensation method for networked control system based on time-delay prediction and implicit PIGPC , 2015, Int. J. Autom. Comput..

[19]  Hao Shen,et al.  Event-triggered dissipative filtering for networked semi-Markov jump systems and its applications in a mass-spring system model , 2017 .

[20]  Peter Xiaoping Liu,et al.  Adaptive Neural Synchronization Control for Bilateral Teleoperation Systems With Time Delay and Backlash-Like Hysteresis , 2017, IEEE Transactions on Cybernetics.

[21]  Shujiang Li,et al.  Priority Scheduling of Networked Control System Based on Fuzzy Controller with Self-tuning Scale Factor , .

[22]  Yanhong Wang,et al.  Networked Control System Time-Delay Compensation Based on Time-Delay Prediction and Improved Implicit GPC , 2015, Algorithms.

[23]  Yang Shi,et al.  Stochastic stability and robust stabilization of semi‐Markov jump linear systems , 2013 .

[24]  F. Gouaisbaut,et al.  Delay-dependent reciprocally convex combination lemma , 2016 .

[25]  Guanghong Yang,et al.  Jensen integral inequality approach to stability analysis of continuous-time systems with time-varying delay , 2008 .

[26]  Wang Xiangdong,et al.  Scheduling method for networked control system with resource constraints based on fuzzy feedback priority and variable sampling period , 2018 .

[27]  Xinping Guan,et al.  Bilateral teleoperation of multiple agents with formation control , 2014, IEEE/CAA Journal of Automatica Sinica.

[28]  Xianwen Gao,et al.  Network Teleoperation Robot System Control Based on Fuzzy Sliding Mode , 2016, J. Adv. Comput. Intell. Intell. Informatics.

[29]  Heidar Ali Talebi,et al.  Adaptive bilateral teleoperation of an unknown object handled by multiple robots under unknown communication delay , 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[30]  Isao Endo,et al.  Cooperative formation among multiple mobile robot teleoperation in inspection task , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[31]  Yuanqing Xia,et al.  Neural Network-Based Control of Networked Trilateral Teleoperation With Geometrically Unknown Constraints , 2016, IEEE Transactions on Cybernetics.

[32]  Bing Chen,et al.  Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form , 2015, IEEE Transactions on Cybernetics.