Control of system of systems

This paper sets forth the stage for one of the most important issues in SoS - the control problem. The challenge for any control engineer and designer is to stabilize the SoS based on not only its own sensors on board, but just as critically important based on data transmissions from other sensors and actuators. For that reason the control design needs to be flexible to account for lack or shortfall of communication packets from other systems or on the usual Gupta's [14] main contribution here is the simultaneous design of information flow and the control law. Unlike traditional control design tools which concentrate on calculating the optimal control input by assuming a particular information flow between the components, Gupta's [14] approach seeks to synthesize the optimal information flow along with the optimal control law that satisfies the constraints of the information flow. Thus besides the question of ‘What should an agent do?’, the questions of ‘Whom should an agent talk to?’, ‘What should an agent communicate?’, ‘When should an agent communicate?’ and so on also have to be answered. This idea is exactly what the decentralized formation control of Kumar Ray, et al. [4], which was briefly discussed.

[1]  Mohammad Jamshidi,et al.  Systems of Systems Engineering: Principles and Applications , 2008 .

[2]  Wei Zhang,et al.  Stability of networked control systems , 2001 .

[3]  Keith W. Hipel,et al.  The Future of Systems, Man, and Cybernetics: Application Domains and Research Methods , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[4]  Mohammad Jamshidi,et al.  System of systems engineering : innovations for the 21st century , 2008 .

[5]  George W. Irwin,et al.  Wireless networked control systems with QoS-based sampling , 2007 .

[6]  Marcel Staroswiecki,et al.  Transmission delays in residual computation , 2007 .

[7]  Bernard H. Stark,et al.  IEEE International Conference on Industrial Informatics , 2009 .

[8]  Dimos V. Dimarogonas,et al.  Decentralized motion control of multiple holonomic agents under input constraints , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[9]  M. Jamshidi Large-Scale Systems: Modeling, Control and Fuzzy Logic , 1996 .

[10]  John R. Beaumont,et al.  Large-Scale Systems: Modeling and Control , 1983 .

[11]  Yongcan Cao,et al.  Simulation and Experimental Study of Consensus Algorithms for Multiple Mobile Robots with Information Feedback , 2008, Intell. Autom. Soft Comput..

[12]  Randal W. Beard,et al.  Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications , 2007, Communications and Control Engineering.

[13]  Patrick Benavidez,et al.  Decentralized Motion Coordination for a Formation of Rovers , 2009, IEEE Systems Journal.

[14]  Mo M. Jamshidi,et al.  Consensus Control for a System of Underwater Swarm Robots , 2010, IEEE Systems Journal.

[15]  Vijay Gupta,et al.  Distributed estimation and control in networked systems , 2007 .

[16]  Dimos V. Dimarogonas,et al.  A Feedback Stabilization and Collision Avoidance Scheme for Multiple Independent Nonholonomic Non-Point Agents , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..