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In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: "Introduction and Background on Control Theory," "Adaptive Control and Neuroscience," "Adaptive Learning Algorithms," "Cyber-Physical Systems and Cooperative Control,"...

Optimal Networked Control Systems with MATLAB^(R) discusses optimal controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB^(R) codes are included for each case.

The book begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal...