Passivity-based Model Predictive Control for Mobile Vehicle, Tahirovic Adnan

Автор: Martin Guay, Veronica Adetola and Darryl De Haan
Название: Robust And Adaptive Model Predictive Control Of Nonlinear Systems
ISBN: 1849195528 ISBN-13(EAN): 9781849195522
Издательство: Неизвестно
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Цена: 24944.00 р.
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Описание: This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.

Автор: Takeshi Hatanaka; Nikhil Chopra; Masayuki Fujita;
Название: Passivity-Based Control and Estimation in Networked Robotics
ISBN: 3319151703 ISBN-13(EAN): 9783319151700
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Passivity-Based Control and Estimation in Networked Robotics

Автор: Romeo Ortega; Julio Antonio Lor?a Perez; Per Johan
Название: Passivity-based Control of Euler-Lagrange Systems
ISBN: 1849968527 ISBN-13(EAN): 9781849968522
Издательство: Springer
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Цена: 23508.00 р.
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Описание: The essence of this work is the control of electromechanical systems, such as manipulators, electric machines, and power converters. Amongst other topics, the authors cover: Euler-Lagrange Systems, Mechanical Systems, Generalised AC Motors, Induction Motor Control, Robots with AC Drives, and Perspectives and Open Problems.

Автор: van der Schaft
Название: L2-Gain and Passivity Techniques in Nonlinear Control
ISBN: 3319499912 ISBN-13(EAN): 9783319499918
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This standard text gives a unified treatment of passivity and L2-gain theory for nonlinear state space systems, preceded by a compact treatment of classical passivity and small-gain theorems for nonlinear input-output maps. The synthesis between passivity and L2-gain theory is provided by the theory of dissipative systems. Specifically, the small-gain and passivity theorems and their implications for nonlinear stability and stabilization are discussed from this standpoint. The connection between L2-gain and passivity via scattering is detailed.Feedback equivalence to a passive system and resulting stabilization strategies are discussed. The passivity concepts are enriched by a generalised Hamiltonian formalism, emphasising the close relations with physical modeling and control by interconnection, and leading to novel control methodologies going beyond passivity.The potential of L2-gain techniques in nonlinear control, including a theory of all-pass factorizations of nonlinear systems, and of parametrization of stabilizing controllers, is demonstrated. The nonlinear H-infinity optimal control problem is also treated and the book concludes with a geometric analysis of the solution sets of Hamilton-Jacobi inequalities and their relation with Riccati inequalities for the linearization. · L2-Gain and Passivity Techniques in Nonlinear Control (third edition) is thoroughly updated, revised, reorganized and expanded. Among the changes, readers will find:· updated and extended coverage of dissipative systems theory· substantial new material regarding converse passivity theorems and incremental/shifted passivity · coverage of recent developments on networks of passive systems with examples· a completely overhauled and succinct introduction to modeling and control of port-Hamiltonian systems, followed by an exposition of port-Hamiltonian formulation of physical network dynamics· updated treatment of all-pass factorization of nonlinear systems The book provides graduate students and researchers in systems and control with a compact presentation of a fundamental and rapidly developing area of nonlinear control theory, illustrated by a broad range of relevant examples stemming from different application areas.

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

Автор: Luigi Del Re; Frank Allg?wer; Luigi Glielmo; Carlo
Название: Automotive Model Predictive Control
ISBN: 1849960704 ISBN-13(EAN): 9781849960700
Издательство: Springer
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Цена: 20896.00 р.
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Описание: The proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application.

Название: Distributed model predictive control made easy
ISBN: 9400770057 ISBN-13(EAN): 9789400770058
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Distributed Model Predictive Control Made Easy

Автор: Ellis
Название: Economic Model Predictive Control
ISBN: 3319411071 ISBN-13(EAN): 9783319411071
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Автор: Carlos Ocampo-Martinez
Название: Model Predictive Control of Wastewater Systems
ISBN: 1447157184 ISBN-13(EAN): 9781447157182
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book shows how sewage systems can be modeled and controlled within the framework of model predictive control (MPC). A MATLAB(R) toolbox (available for download) will assist readers in implementing the MPC methods described within a sewer network.