Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems. Linear Systems: Optimal and Robust Control (by Alok Sinha, ) [Book review]. Published in: IEEE Sponsored by: IEEE Control Systems Society. Request PDF on ResearchGate | Linear Systems: Optimal and Robust Control ( by Alok Sinha, ) [Book review] | Not Available.
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Linear Systems | Optimal and Robust Control | Taylor & Francis Group
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For Instructors Request Inspection Copy. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then sinhx optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian LQG control.
By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Controlstudents will be able to better understand and ultimately better manage engineering processes and systems.
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Linear Systems: Optimal and Robust Control
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Summary Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems.
Request an e-inspection copy. Dynamical Systems and Control. Advances in Dynamics and Control.
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