Networked predictive control and its simple application into a class of bilinear systems

With the rapid development of control, communication, and micro-electronics technology, networked control systems (NCSs) has attracted considerable attention in the systems and control community. This paper provides the recent research developments of the networked predictive control systems. According to network locations and controlled plants complexity, two different predictive control structures are given: one is for a networked one-agent system, and the other is for a networked multi-agent system. Furthermore, the networked predictive control strategy is applied into networked bilinear systems in a simple way. The simulated examples have been given to illustrate its efficiency.

[1]  Qi Bin Mu Wen-ying Cui Bao-tong Lou Ke.  Flocking control of multiple agents based on feedback control strategy , 2013 .

[2]  Guoping Liu,et al.  Improved delay-range-dependent stability criteria for linear systems with time-varying delays , 2010, Autom..

[3]  Mu Zhaoli.  Analysis of Stabilizing Control of Discrete Bilinear System , 2000 .

[4]  Sonia Martínez,et al.  Coverage control for mobile sensing networks , 2002, IEEE Transactions on Robotics and Automation.

[5]  Daniel E. Quevedo,et al.  Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses , 2012, Autom..

[6]  Camillo J. Taylor,et al.  A vision-based formation control framework , 2002, IEEE Trans. Robotics Autom..

[7]  Graham C. Goodwin,et al.  A moving horizon approach to Networked Control system design , 2004, IEEE Transactions on Automatic Control.

[8]  Jian Sun,et al.  Design, Analysis and Real-time Implementation of Networked Predictive Control Systems , 2013 .

[9]  S. Kim.  T–S fuzzy control design for a class of nonlinear networked control systems , 2013 .

[10]  D. Rees,et al.  Design and practical implementation of networked predictive control systems , 2005, Proceedings. 2005 IEEE Networking, Sensing and Control, 2005..

[11]  Hongbo Song.  Design and Stability Analysis of Uncertain Networked Predictive Control Systems with Multiple Forward Channels , 2014 .

[12]  Zheng-Zhi Han,et al.  Adaptive predictive functional control for networked control systems with random delays , 2011, Int. J. Autom. Comput..

[13]  Amir H.D. Markazi,et al.  Networked control of industrial automation systems—a new predictive method , 2012 .

[14]  Guo-Ping Liu,et al.  Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels , 2013, IEEE Transactions on Industrial Electronics.

[15]  An Bao-Ran,et al.  Using time delay compensation scheme in dynamic output feedback controller for networked control systems , 2014 .

[16]  Guo-Ping Liu,et al.  Improvement of State Feedback Controller Design for Networked Control Systems , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[17]  Hao Xu,et al.  Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses , 2012, Autom..

[18]  Zhang Rui-le.  Formation control for a kind of nonholonomic mobile robots , 2013 .

[19]  Wei Wang,et al.  A Novel Stability Analysis for Networked Predictive Control Systems , 2014, IEEE Transactions on Circuits and Systems II: Express Briefs.

[20]  Randy A. Freeman,et al.  Multi-Agent Coordination by Decentralized Estimation and Control , 2008, IEEE Transactions on Automatic Control.

[21]  An Bao-Ran,et al.  Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss , 2014 .

[22]  Senchun Chai,et al.  Design and stability analysis of networked control systems with random communication time delay using the modified MPC , 2006 .

[23]  Wpmh Maurice Heemels,et al.  Special issue on Analysis and Design of Hybrid and Networked Control Systems , 2013 .

[24]  Yuanqing Xia,et al.  Design and Stability Analysis of Networked Predictive Control Systems , 2013, IEEE Transactions on Control Systems Technology.

[25]  Peiling Yang,et al.  An Intelligent Controlling System for Greenhouse Environment Based on the Architecture of the Internet of Things , 2012 .

[26]  Xiao-Ming Tang,et al.  Design of networked control systems with bounded arbitrary time delays , 2012, International Journal of Automation and Computing.

[27]  René Vidal,et al.  Distributed Formation Control with Omnidirectional Vision-Based Motion Segmentation and Visual Servoing , 2004 .

[28]  Donghua Zhou,et al.  Output Tracking Control for Networked Systems: A Model-Based Prediction Approach , 2014, IEEE Transactions on Industrial Electronics.

[29]  Dongbing Gu,et al.  Distributed leader‐follower flocking control , 2009 .

[30]  Linda Bushnell,et al.  Stability analysis of networked control systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[31]  S. Shankar Sastry,et al.  Following the flock [formation control] , 2004, IEEE Robotics & Automation Magazine.

[32]  M. Omizo,et al.  Modeling , 1983, Encyclopedic Dictionary of Archaeology.

[33]  Jianhua Zhang,et al.  Neural PID Control Strategy for Networked Process Control , 2013 .

[34]  Jim Euchner.  Design , 2014, Catalysis from A to Z.

[35]  Panos J. Antsaklis,et al.  Special Issue on Technology of Networked Control Systems , 2007 .

[36]  Vijay Kumar,et al.  Modeling and control of formations of nonholonomic mobile robots , 2001, IEEE Trans. Robotics Autom..

[37]  Vladimir L. Kharitonov,et al.  On the stability of linear systems with uncertain delay , 2003, IEEE Trans. Autom. Control..

[38]  Wei Lin,et al.  KYP lemma, state feedback and dynamic output feedback in discrete-time bilinear systems , 1994 .

[39]  Hai-Tao Zhang,et al.  Bipartite flocking for multi-agent systems , 2014, Commun. Nonlinear Sci. Numer. Simul..

[40]  Thomas Parisini,et al.  Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis , 2011, IEEE Transactions on Automatic Control.

[41]  Chen Jie,et al.  Modeling,Optimization and Control in Ground-based Digital Weapon Systems , 2014 .

[42]  Seif Haridi,et al.  Distributed Algorithms , 1992, Lecture Notes in Computer Science.