9781394285952 - linear parameter-varying control: theory and application to automotive systems di sename, olivier (16 risultati)

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Hardcover. Condizione: new. Hardcover. An authoritative new exploration of the latest theoretical and applied advances in Linear Parameter-Varying systems In Linear Parameter-Varying Control: Theory and Application to Automotive Systems, distinguished researcher Dr. Olivier Sename delivers a comprehensive and up-to-date discussi…on of the theoretical aspects and real applications of Linear Parameter-Varying (LPV) control, with a strong focus on systems theory and in real automotive systems. The author covers the primary methods used to model, control, and analyze LPV systems, and illustrates how to model those systems using examples. This book covers developing adaptive LPV control using the provided recipes as guides and contextual aids as well as discovering effective methods to design LPV controllers that have already been validated through real applications. Readers will also find: A thorough introduction to vehicle dynamics control in automated vehicles, as well as suspension controlComprehensive explorations of LPV systems modelling, including dynamical systemsPractical discussions of the properties of LPV systems, including controllability, observability, and stabilityComplete treatments of LPV systems control, including state feedback control and dynamic output feedback LPV control Perfect for researchers and students with an interest in vehicle dynamics, Linear Parameter-Varying Control will also benefit postgraduate and PhD students, control engineers, and academics teaching control theory and applications courses. "A linear parameter varying (LPV) system is a linear state-space model whose dynamics vary as a function of certain time-varying parameters called scheduling parameters. LPV is a power tool for analysis and design of complex control systems. In MATLAB, an LPV model is represented in a state-space form using coefficients that are parameter dependent"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. An authoritative new exploration of the latest theoretical and applied advances in Linear Parameter-Varying systems In Linear Parameter-Varying Control: Theory and Application to Automotive Systems, distinguished researcher Dr. Olivier Sename delivers a comprehensive and up-to-date discussi…on of the theoretical aspects and real applications of Linear Parameter-Varying (LPV) control, with a strong focus on systems theory and in real automotive systems. The author covers the primary methods used to model, control, and analyze LPV systems, and illustrates how to model those systems using examples. This book covers developing adaptive LPV control using the provided recipes as guides and contextual aids as well as discovering effective methods to design LPV controllers that have already been validated through real applications. Readers will also find: A thorough introduction to vehicle dynamics control in automated vehicles, as well as suspension controlComprehensive explorations of LPV systems modelling, including dynamical systemsPractical discussions of the properties of LPV systems, including controllability, observability, and stabilityComplete treatments of LPV systems control, including state feedback control and dynamic output feedback LPV control Perfect for researchers and students with an interest in vehicle dynamics, Linear Parameter-Varying Control will also benefit postgraduate and PhD students, control engineers, and academics teaching control theory and applications courses. "A linear parameter varying (LPV) system is a linear state-space model whose dynamics vary as a function of certain time-varying parameters called scheduling parameters. LPV is a power tool for analysis and design of complex control systems. In MATLAB, an LPV model is represented in a state-space form using coefficients that are parameter dependent"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. An authoritative new exploration of the latest theoretical and applied advances in Linear Parameter-Varying systems In Linear Parameter-Varying Control: Theory and Application to Automotive Systems, distinguished researcher Dr. Olivier Sename delivers a comprehensive and up-to-date discussi…on of the theoretical aspects and real applications of Linear Parameter-Varying (LPV) control, with a strong focus on systems theory and in real automotive systems. The author covers the primary methods used to model, control, and analyze LPV systems, and illustrates how to model those systems using examples. This book covers developing adaptive LPV control using the provided recipes as guides and contextual aids as well as discovering effective methods to design LPV controllers that have already been validated through real applications. Readers will also find: A thorough introduction to vehicle dynamics control in automated vehicles, as well as suspension controlComprehensive explorations of LPV systems modelling, including dynamical systemsPractical discussions of the properties of LPV systems, including controllability, observability, and stabilityComplete treatments of LPV systems control, including state feedback control and dynamic output feedback LPV control Perfect for researchers and students with an interest in vehicle dynamics, Linear Parameter-Varying Control will also benefit postgraduate and PhD students, control engineers, and academics teaching control theory and applications courses. "A linear parameter varying (LPV) system is a linear state-space model whose dynamics vary as a function of certain time-varying parameters called scheduling parameters. LPV is a power tool for analysis and design of complex control systems. In MATLAB, an LPV model is represented in a state-space form using coefficients that are parameter dependent"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.