"Robust Industrial Control Systems - Optimal Design Approach for Polynomial Systems"

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Book	Author(s)	Year	Publisher
Robust industrial control: optimal design approach for polynomial systems /	Grimble, Michael J.	1994.	Prentice Hall,
Robust Industrial Control Systems - Optimal Design Approach for Polynomial Systems	Michael J. Grimble	2006	John Wiley & Sons
Robust Control Design: A Polynomial Approach	Theodore E. Djaferis	1995	Springer US
Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach	Michael J. Grimble; Paweł Majecki	1st ed. 2020	Springer London
Robust Control Design - An Optimal Control Approach	Feng Lin	2007	John Wiley & Sons
Polynomial Methods for Control Systems Design	Michael J. Grimble; Vladimir Kučera	1996	Springer London
Linear Systems: Optimal and Robust Control	Alok Sinha	2007	Routledge
Optimal and Robust Scheduling for Networked Control Systems	Stefano Longo; Tingli Su; Guido Herrmann; Phil Barber	2013	Routledge
Control systems for industrial design	Michael Farr	1973	Gower Press
Robust and optimal control /	Zhou, Kemin.; Doyle, John Comstock.; Glover, K.	1996.	Prentice Hall,
Robust and Optimal Control: A Two-port Framework Approach	Mi-Ching Tsai; Da-Wei Gu	2014	Springer London
Robust Control Design for Active Driver Assistance Systems: A Linear-Parameter-Varying Approach	Péter Gáspár; Zoltán Szabó; József Bokor; Balazs Nemeth	1st ed. 2017	Springer International Publishing
New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems	Michael Basin	2008	Springer Berlin Heidelberg
Optimal Control Systems	D. Subbaram Naidu; Richard C. Dorf	2003	Routledge
Optimal Control Systems	A.A. Fel'Dbaum	1965	Elsevier
Optimal control systems /	Naidu, D. S.	[2003], ©2003.	CRC Press,
Control and Optimal Design of Distributed Parameter Systems	John E. Lagnese; David L. Russell; Luther W. White	1995	Springer New York
Optimal Design of Distributed Control and Embedded Systems	Arben Çela; Mongi Ben Gaid; Xu-Guang Li; Silviu-Iulian Niculescu	2014	Springer International Publishing
Robust Control for Nonlinear Time-Delay Systems	Changchun Hua; Liuliu Zhang; Xinping Guan	1st ed. 2018	Springer Nature Singapore
Robust Control - Youla Parameterization Approach	Farhad Assadian	2022	John Wiley & Sons
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Optimal Robust Design for Aircraft Control Systems	A. Stoica	Qualitative problems for differential equations and control theory /	Corduneanu, C.	[1995], ©1995.	World Scientific,
OPTIMAL CONTROL FOR POLYNOMIAL SYSTEMS		Optimal Control, 3rd Edition	Frank L. Lewis	2012	John Wiley & Sons
7. Optimal Control for Polynomial Systems		Optimal control /	Lewis, Frank L.; Syrmos, Vassilis L.	[1995], ©1995.	J. Wiley,
ROBUST CONTROL DESIGN USING THE ALGEBRAIC POLYNOMIAL APPROACH	M. BUDINSKÝ; Š. KOZÁK	New Trends in Design of Control Systems 1994	J. Mikles and M. Huba	1995	Pergamon
Robust Control Methods for Industrial Systems	Gerasimos G. Rigatos	Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering	Gerasimos Rigatos	2011	Springer Berlin Heidelberg
Polynomial Approach for Design and Robust Analysis of Lateral Missile Control	Antonios Tsourdos; Brian A. White; L. Bruyere	Advances in Missile Guidance, Control, and Estimation	S.N. Balakrishnan; A. Tsourdos; B.A. White	2012	Routledge
Robust nonlinear control for polynomial discrete-time systems	Shakir Saat; Sing Kiong Nguang; Alireza Nasiri	Analysis and Synthesis of Polynomial Discrete-Time Systems	Shakir Saat; Sing Kiong Nguang; Alireza Nasiri	2017	Butterworth-Heinemann
Optimal robust control	Mo Jamshidi; Renato A. Krohling; Leandro dos S. Coelho; Peter J. Fleming	Robust Control Systems with Genetic Algorithms	Mo Jamshidi; Renato A. Krohling; Leandro dos S. Coelho; Peter J. Fleming	2003	Routledge
Optimal and robust control system design	Roland S. Burns; Roland S. Burns	Advanced Control Engineering	Roland S. Burns and Roland S. Burns	2001	Butterworth-Heinemann
Optimal Filtering for Polynomial Systems	Michael Basin	New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems	Michael Basin	2008	Springer Berlin Heidelberg
Design of Robust Control Systems	Jürgen Ackermann	Sampled-Data Control Systems: Analysis and Synthesis, Robust System Design	Jürgen Ackermann	1985	Springer Berlin Heidelberg
7 Robust Control Systems Design		Linear feedback control: analysis and design with MATLAB	Dingyü Xue; YangQuan Chen; Derek P Atherton	2007	Society for Industrial and Applied Mathematics
2 Robust and Optimal Control for Mechanical Systems	Youngjin Choi; Wan Kyun Chung	PID Trajectory Tracking Control for Mechanical Systems	Youngjin Choi; Wan Kyun Chung	2004	Springer Berlin Heidelberg
Robust Control for Industrial Robots	H. Bremer; A. Truckenbrodt	Theory and Practice of Robots and Manipulators: Proceedings of RoManSy ' 84: The Fifth CISM — IFToMM Symposium	A. Morecki; G. Bianchi; K. K?dzior	1985	Springer US
12. Optimal Design Methods: A Polynomial Approach		Computer-controlled systems: theory and design /	Åström, Karl J.; Wittenmark, Björn.	c1997.	Prentice Hall,
Ch. 7. Polynomial Equations Approach to Control Systems Design		Discrete-time control systems /	Ogata, Katsuhiko.	[1995], ©1995.	Prentice Hall,
92 Polynomial optimal control		Moment-SOS Hierarchy, The: Lectures in Probability, Statistics, Computational Geometry, Control and Nonlinear Pdes (Optimization and Its Applications)	Didier Henrion, Milan Korda, Jean Bernard Lasserre	2020	World Scientific Publishing Europe Ltd
Stochastic Adaptive Dynamic Programming for Robust Optimal Control Design	T. Bian; Z.-P. Jiang	Control of Complex Systems	Kyriakos Vamvoudakis and Sarangapani Jagannathan	2016	Butterworth-Heinemann
Robust Control Against Uncertainty Quartet: A Polynomial Approach	Di Zhao; Chao Chen; Sei Zhen Khong; Li Qiu	Uncertainty in Complex Networked Systems: In Honor of Roberto Tempo	Tamer Başar	1st ed. 2018	Springer International Publishing
Constrained Robust Optimal Control		Constrained Optimal Control of Linear and Hybrid Systems	Francesco Borrelli	2003	Springer Berlin Heidelberg
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