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Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear systems. The parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly coupled systems based on the power-series expansion methods. It is intended for scientists and advance graduate students in electrical engineering and computer science who deal with parallel algorithms and control systems, especially large scale systems. The material presented is both comprehensive and unique.
List of contents
From the Contents:
Linear-Quadratic Control Problems.- Decoupling Transformations.- Output Feedback Control.- Linear Stochastic Systems.- Open-Loop Optimal Control Problems.- Exact Decompositions of Algebraic Riccati Equations.- Differential and Difference Riccati Equations.- Quasi Singularly Perturbed and Weakly Coupled Linear Systems.- Singularly Perturbed Weakly Coupled Linear Control Systems.- Stochastic Output Feedback of Linear Discrete Systems.- Applications to Differential Games.- Recursive Approach to High Gain and Cheap Control Problems.- Linear Approach to Bilinear Control Systems.
