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Titlebook: Robust Output LQ Optimal Control via Integral Sliding Modes; Leonid Fridman,Alexander Poznyak,Francisco Javier Book 2014 Springer Science

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发表于 2025-3-21 16:07:01 | 显示全部楼层 |阅读模式
书目名称Robust Output LQ Optimal Control via Integral Sliding Modes
编辑Leonid Fridman,Alexander Poznyak,Francisco Javier
视频video
概述New approach used, with many design techniques unique to this book.Minimal prerequisites: only a basic course in linear systems theory is needed.For a broad audience of graduate students, practitioner
丛书名称Systems & Control: Foundations & Applications
图书封面Titlebook: Robust Output LQ Optimal Control via Integral Sliding Modes;  Leonid Fridman,Alexander Poznyak,Francisco Javier  Book 2014 Springer Science
描述.Featuring original research from well-known experts in the field of sliding mode control, this monograph presents new design schemes for implementing LQ control solutions in situations where the output system is the only information provided about the state of the plant. This new design works under the restrictions of matched disturbances without losing its desirable features. On the cutting-edge of optimal control research, .Robust Output LQ Optimal Control via Integral Sliding Modes. is an excellent resource for both graduate students and professionals involved in linear systems, optimal control, observation of systems with unknown inputs, and automatization..In the theory of optimal control, the linear quadratic (LQ) optimal problem plays an important role due to its physical meaning, and its solution is easily given by an algebraic Riccati equation. This solution turns out to be restrictive, however, because of two assumptions: the system must be free from disturbances and the entire state vector must be known. A new technique, called  output integral sliding modes, eliminates the effects of disturbances acting in the same subspace as the control. By using LQ-optimal control t
出版日期Book 2014
关键词Riccati equation; integral sliding modes; linear quadratic optimal control; multi-plant systems; optimal
版次1
doihttps://doi.org/10.1007/978-0-8176-4962-3
isbn_softcover978-1-4939-5115-4
isbn_ebook978-0-8176-4962-3Series ISSN 2324-9749 Series E-ISSN 2324-9757
issn_series 2324-9749
copyrightSpringer Science+Business Media New York 2014
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Integral Sliding Mode Controlrojection to the unmatched variable subspace is designed ensuring that the application of ISM is not amplifying, but minimizing the unmatched perturbations. An illustrative example of application of ISM to LQ problem is presented.
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Observer Based on ISMg mode surface one can compensate the unknown inputs. Then if the number of the inputs is more than the number of unknown outputs it is still possible to observe the system. Moreover, the main advantage of such observers is that they can provide, theoretically, an exact value of the state variables
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Output Integral Sliding Mode Based Controlnsensitivity of the state trajectory with respect to the matched uncertainties from the initial time moment. In the case when the number of inputs is more than or equal to the number of outputs, the closed-loop system, describing the output integral sliding mode dynamics, is shown to lose observabil
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Multiplant and ISM Output Controlle. Here every system is affected by matched uncertainties, and we propose to use an output integral sliding mode to compensate the matched uncertainties right after the beginning of the process. For the case when the extended system is free of invariant zeros, a hierarchical sliding mode observer i
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Fault Detectionare assumed to represent a signal indicating the level of the control performance, that is, in the absence of actuator failures, the matched disturbances do not exist, and when the actuator has a fail, the disturbances appeared in the system. Thus, after the observer is designed and the control law
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Stewart Platformant examples of totally parallel manipulator, understanding as such a robot that possess two bodies, one fixed and the other mobile, which are connected between them by several arms. Typically each arm is controlled by an actuator. Stewart’s platform has, therefore, a parallel configuration of six d
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