Lagrangian And Hamiltonian Methods For Nonlinear Control 2006
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Lagrangian And Hamiltonian Methods For Nonlinear Control 2006
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Author : Francesco Bullo
language : en
Publisher: Springer
Release Date : 2007-10-06
Lagrangian And Hamiltonian Methods For Nonlinear Control 2006 written by Francesco Bullo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-06 with Technology & Engineering categories.
Lagrangian And Hamiltonian Methods For Nonlinear Control 2006
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Author : Francesco Bullo
language : en
Publisher: Springer
Release Date : 2009-09-02
Lagrangian And Hamiltonian Methods For Nonlinear Control 2006 written by Francesco Bullo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Technology & Engineering categories.
Automotive Model Predictive Control
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Author : Luigi Del Re
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-11
Automotive Model Predictive Control written by Luigi Del Re and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Technology & Engineering categories.
Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.
Adaptive Backstepping Control Of Uncertain Systems
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Author : Jing Zhou
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-07
Adaptive Backstepping Control Of Uncertain Systems written by Jing Zhou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Technology & Engineering categories.
This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.
Recent Advances In Learning And Control
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Author : Vincent D. Blondel
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-11
Recent Advances In Learning And Control written by Vincent D. Blondel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-11 with Technology & Engineering categories.
This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad that honored the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.
Pid Control For Multivariable Processes
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Author : Qing-Guo Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-19
Pid Control For Multivariable Processes written by Qing-Guo Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-19 with Technology & Engineering categories.
Thereare richtheories and designs for generalcontrolsystems,but usually, they will not lead to PID controllers. Noting that the PID controller has been the most popular one in industry for over ?fty years, we will con?ne our discussion hereto PIDcontrolonly. PID controlhasbeenanimportantresearchtopicsince 1950’s, and causes remarkable activities for the last two decades. Most of the existing works have been on the single variable PID control and its theory and design are well established, understood and practically applied. However, most industrial processes are of multivariable nature. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well. Thus,demandforaddressingmultivariableinteractionsishighforsuccessful applicationofPIDcontrolinmultivariableprocessesanditisevidentfrommajor leading control companies who all rankedthe couplings of multivariable systems as the principal common problem in industry. There have been studies on PID control for multivariable processes and they provide some useful design tools for certaincases. But itis notedthat the existing worksaremainlyfor decentralized form of PID control and based on ad hoc methodologies. Obvious, multivariable PID control is much less understood and developed in comparison with the single variable case and actual need for industrial applications. Better theory and design have to be established for multivariable PID control to reach the same maturity and popularity as the single variable case. The present monograph puts together, in a single volume, a fairly comp- hensive, up-to-date and detailed treatment of PID control for multivariable p- cesses, from paring, gain and phase margins, to various design methods and applications.
Optimal Linear Controller Design For Periodic Inputs
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Author : Goele Pipeleers
language : en
Publisher: Springer
Release Date : 2009-12-07
Optimal Linear Controller Design For Periodic Inputs written by Goele Pipeleers and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-07 with Technology & Engineering categories.
Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control. The design methodology proposed is able to reproduce and outperform the major current design approaches, where this superior performance stems from the following properties: uncertainty on the input period is explicitly accounted for, periodic performance being traded-off against conflicting design objectives and controller design being translated into a convex optimization problem, guaranteeing the efficient computation of its global optimum. The potential of the design methodology is illustrated by both numerical and experimental results.
Dynamic Modeling Predictive Control And Performance Monitoring
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Author : Biao Huang
language : en
Publisher: Springer
Release Date : 2008-03-02
Dynamic Modeling Predictive Control And Performance Monitoring written by Biao Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-02 with Technology & Engineering categories.
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
Safe Adaptive Control
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Author : Margareta Stefanovic
language : en
Publisher: Springer
Release Date : 2011-02-04
Safe Adaptive Control written by Margareta Stefanovic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-04 with Technology & Engineering categories.
Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controller is demonstrated by referring to several well-known adaptive control approaches, where the system goes unstable when a large mismatch between the unknown plant and the available models exists ("plant-model mismatch instability"). Sufficient conditions for this possibility to be avoided are formulated, and a "recipe" to be followed by the control system designer to guarantee stability and desired performance is provided. The problem is placed in a standard optimization setting. Unlike the finite controller sets considered elsewhere, the candidate controller set is allowed to be continuously parametrized so that it can deal with plants with a very large range of uncertainties.
Modern Sliding Mode Control Theory
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Author : Giorgio Bartolini
language : en
Publisher: Springer
Release Date : 2008-04-05
Modern Sliding Mode Control Theory written by Giorgio Bartolini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-05 with Technology & Engineering categories.
This concise book covers modern sliding mode control theory. The authors identify key contributions defining the theoretical and applicative state-of-the-art of the sliding mode control theory and the most promising trends of the ongoing research activities.