Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical Applications The book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system. Practical Solutions to Your Time-Triggered Communication Problems This unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.
The state-of-the art research reported in this volume by an international team of contributors will make Networked Control Systems an essential reference for researchers and postgraduate students in control, electrical, computer and ...
In P.Antsaklis and P.Tabuada, editors, Networked Embedded Sensing and Control, Proceedings of Workshop NESC05: University of Notre Dame, USA, ... Systems & Control: [53] Foundations & Applications. ... Optimal control of hybrid systems.
... Control Systems. Springer, Heidelberg (2015) Simon, D., Song, Y.-Q., Aubrun, C.: Co-design Approaches to Dependable Networked Control Systems. Wiley, New York (2013) Longo, S., Su, T., Herrmann, G., Barber, P.: Optimal and Robust Scheduling ...
P. Zhou, J. Xie. Online Deadline Assignment to Reduce Output Jitter of Real-Time Control Tasks. Proc. of Int. Conf. on Machine Learning and Cybernetics, Vol. 2, pp.1312 – 1315, 2005. P. Zhou, J. Xie, X. Deng.
Optimal Control of Switched Systems with Application to Networked Embedded Control Systems. PhD thesis, Institute of Control Systems, University of Kaiserslautern, Germany, 2012. Matías García-Rivera and Antonio Barreiro.
Covers detailed problem statement and proposed solutions along with numerical examples. This book aims at Senior undergraduate, Graduate students, and Researchers in Control Engineering, Robotics and Signal Processing.
Lecture Notes in Artificial Intelligence, N. R. (1995) Cenjor, A., Garcia, A.: Control basado en agentes mejorados con tecnologia auto-id. RIAII 2(3), 48–60 (2005) Higuera, A.G., Montalvo, A.C.: Sistema heterarquico de control basado en ...
Pablo Millán, Luis Orihuela and Isabel Jurado Abstract This chapter introduces a distributed estimation and control technique with application to networked systems. The problem consists of monitoring and controlling a large-scale plant ...
... cable excited near its second natural frequency. Int. J. Bifurcat. Chaos 24(9), 1430024 (2014) 4. Pospisil, S., Fischer, C., Naprstek, J.: Experimental analysis of the influence of damping on the resonance behavior of a spherical ...
This book introduces a unique, packet-based co-design control framework for networked control systems.