Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and Hl optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct…mehr
Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and Hl optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.
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Inhaltsangabe
Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller
Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB
1 Introduction.- 1.1 Sampled-Data Systems.- 1.2 Approaches to SD Controller Design.- 1.3 Notation.- 1 Indirect Design Methods.- 2 Overview of Continuous-Time H2- and H?-Optimal Control.- 3 Discretization.- 4 Discrete-Time Systems: Basic Concepts.- 5 Discrete-Time Feedback Systems.- 6 Discrete-Time H2-Optimal Control.- 7 Introduction to Discrete-Time H?-Optimal Control.- 8 Fast Discretization of SD Feedback Systems.- II Direct SD Design.- 9 Properties of S and H.- 10 Continuous Lifting.- 11 Stability and Tracking in SD Systems.- 12 H2-Optimal SD Control.- 13 H?-Optimal SD Control.- A State Models.
Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller
Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB
1 Introduction.- 1.1 Sampled-Data Systems.- 1.2 Approaches to SD Controller Design.- 1.3 Notation.- 1 Indirect Design Methods.- 2 Overview of Continuous-Time H2- and H?-Optimal Control.- 3 Discretization.- 4 Discrete-Time Systems: Basic Concepts.- 5 Discrete-Time Feedback Systems.- 6 Discrete-Time H2-Optimal Control.- 7 Introduction to Discrete-Time H?-Optimal Control.- 8 Fast Discretization of SD Feedback Systems.- II Direct SD Design.- 9 Properties of S and H.- 10 Continuous Lifting.- 11 Stability and Tracking in SD Systems.- 12 H2-Optimal SD Control.- 13 H?-Optimal SD Control.- A State Models.
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