13 Best Books on Optimal and Robust Control

We have compiled a list of the Best Reference Books on Optimal and Robust Control, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Optimal and Robust Control Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Optimal and Robust Control below.

1."Linear Optimal Control Systems" by Kwakernak and Sivan Book Review: In this book, modern linear control theory and classical control theory are brought together in a unified manner. The author presents design methods incorporating modern techniques to achieve control systems that meet the requirements established in classical expositions of control theory. The book also showcases the application of linear quadratic Gaussian methods, which are essential for designing control systems. The book is replete with examples related to system design and includes appendices that cover concepts such as matrix theory, linear systems, and more.
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2."Linear Optimal Control" by Anderson and Moore Book Review: This book provides an engineering perspective on the linear optimal theory and explains its key concepts. It covers topics such as the theory of time-invariant and time-varying systems, the Hamilton-Jacobi equation, regulator properties, degree of stability, phase and gain margin, time delay tolerance, the impact of nonlinearities, asymptotic properties, sensitivity problems, state estimation, and robust controller design. Furthermore, the book includes chapters on loop recovery techniques, frequency shaping, controller reduction, and more.
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3."Linear Optimal Control" by Jeffrey B Burl “Linear Optimal Control” Book Review: This book offers a comprehensive introduction to linear optimal control, focusing on recent research on robustness. Combining new findings with established work on optimal control presents a complete picture of control systems. The book covers topics such as the analysis of control systems, H2 control, linear quadratic Gaussian methods, and more. It is intended for students, teachers, and professionals in various fields of engineering and science.
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4."Stabilization, Optimal and Robust Control" by Aziz Belmiloudi “Stabilization, Optimal and Robust Control” Book Review: This book provides a comprehensive overview on stabilization, optimal and robust control. It discusses nonlinear partial differential equations in detail. It focuses on game theory to explain stabilization and robust control. It contains chapters on problems arising in fluid-mechanical, biological and materials-scientific systems, vortex dynamics, heat transfer in biological tissues, population dynamics, resource management, and much more. The book is designed to focus on students, teachers, and professionals in the various fields of engineering and science.
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5."Robust Industrial Control Systems – Optimal Design Approach for Polynomial Systems" by Michael J Grimble “Robust Industrial Control Systems – Optimal Design Approach for Polynomial Systems” Book Review: This book offers a comprehensive examination of robust industrial control systems, specifically focusing on the optimal design approach for polynomial systems. It features design examples for gas turbines, marine systems, and metal processing and discussions on flight control, wind turbines, process control, and manufacturing systems. The book also covers the analysis of multi-degree-of-freedom controllers and explains how to compute restricted structure controllers that are easy to implement. It is intended for students, teachers, and professionals in various fields of engineering and science.
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6."Linear Systems: Optimal and Robust Control" by Alok Sinha “Linear Systems: Optimal and Robust Control” Book Review: This book thoroughly examines linear systems, including optimal and robust control methods. It provides detailed explanations of these concepts and offers concrete examples and problems to illustrate them. The book also explores linear systems from controllability, observability, and matrix fraction description perspectives. It delves into optimal control and stochastic optimal control in-depth, and discusses the lack of robustness of linear quadratic Gaussian control. The book is intended for students, teachers, and professionals in various fields of engineering and science. advertisement advertisement
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7."Optimal and Robust Scheduling for Networked Control Systems" by Barber Herrmann Su Longo “Optimal and Robust Scheduling for Networked Control Systems” Book Review: This book offers a foundational overview of optimal and robust scheduling for networked control systems. It addresses integrating system components such as controllers, sensors, and actuators within a networked control system. The book presents a solution to the deterministic scheduling problem and covers well-established measures for robust performance and stochastic algorithms that can aid designers. It also proposes a unified framework for modeling time-triggered communication. The book is intended for students, teachers, and professionals in various fields of engineering and science.
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8."Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory" by Frank L Lewis and Lihua Xie “Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory” Book Review: This book presents a comprehensive examination of optimal and robust estimation, focusing on stochastic control theory. It includes the latest developments in estimation theory and design techniques. The book offers in-depth coverage of Kalman filtering, H-infinity filtering, and H-infinity filtering of discrete-time systems, supported by MATLAB code to help readers better understand the concepts. It is intended for students, teachers, and professionals in various fields of engineering and science.
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9."Robust and Optimal Control: A Two-Port Framework Approach" by Da-Wei Gu and Mi-Ching Tsai “Robust and Optimal Control: A Two-Port Framework Approach” Book Review: This book offers a detailed overview of robust and optimal control systems. It presents a two-port framework approach to developing a robust and optimal controller, and discusses efficient procedures for linear and time-invariant systems. The book includes numerous illustrations to enhance the reader’s understanding, and simplifies complex mathematical calculations to make the content more accessible. It is aimed at students, teachers, and professionals in various fields of engineering and science.
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10."Robust Output Lq Optimal Control Via Integral Sliding Modes" by Francisco J Bejarano Alexander Poznyak Leonid Fridman Fridman Poznyak Bejarano “Robust Output Lq Optimal Control Via Integral Sliding Modes” Book Review: This book presents a fundamental overview of robust output and discusses optimal control through integral sliding modes. It emphasizes the applicability of optimal control theory to real-world systems and provides numerous examples with detailed explanations. The book also covers the theoretical and mathematical aspects of the problems, offering MATLAB solutions. Its target audience includes students, teachers, and professionals in various fields of engineering and science.
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11."Robust Control" by S P Bhattacharyya and H Chappelat Book Review: This book offers a unique approach to analyzing and designing control systems, emphasizing both linear and nonlinear systems in the context of robust stability theory. It provides numerous examples and includes MATLAB software to demonstrate control system design applications. The book covers various topics, including generalized Kharitonov theorem, disk polynomial theory, extremal properties of interval systems, real parametric stability margin calculation, and more. With its practical applications, the book is useful for engineers in various fields, such as electrical, mechanical, nuclear, chemical, and aerospace.
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12."Robust and Optimal Control" by Kemin Zhou and John C Doyle Book Review: This book offers a comprehensive coverage of concepts related to robust and optimal control, including uncertainty modeling, problem setup, weight selection, and performance norms. It delves into various topics, such as loop shaping, controller reduction, and LFT form problem formulation, while providing detailed information on riccati equations, m theory, and state space. The book also covers the theory and application of model reduction and riccati equations, and provides background results on linear systems and control theory. advertisement
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13."Dynamic Programming and Optimal Control Vol. I" by D Bertsekas Book Review: This book provides an in-depth coverage of various topics related to modeling, conceptualization, finite horizon problems, mathematical analysis, and computation. It offers a current account of approximate large-scale dynamic programming and reinforcement learning. The book covers the algorithmic methodology of dynamic programming that has a far-reaching impact. It is well-suited for optimal control, Markov decision problems, planning, sequential decision making under certainty, and discrete optimization. The book showcases the method’s generality and power with numerous examples and applications relevant to engineering and operations researchers.
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