Multivariable Computer-controlled Systems
A Transfer Function Approach
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In this book, the authors extend the parametric transfer function methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems. Appendices covering basic mathematical formulae, two MATLAB® toolboxes round out this self-contained guide to multivariable control systems. The book will interest researchers in automatic control and to development engineers working with advanced control technology.
Although the transfer function approach is widely used in classical control theory, computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions.
The authors show how parametric transfer functions, which incorporate time-dependence, can be used to give a complete exposition of analysis and design methods for multi-input, multi-output (MIMO) sampled-data systems.
Multivariable Computer-controlled Systems is divided into three parts:
- Preliminary algebraic material necessary in later chapters.
- Control problems, important in their own right but also having a substantial bearing on what follows.
- Frequency methods for the investigation of MIMO sampled-data systems (parametric discrete-time models; stability; stochastic methods; H2 optimization and L2 design).
Appendices covering basic mathematical formulae and two MATLAB® toolboxes round out this self-contained guide.
The authors show how parametric transfer functions, which incorporate time-dependence, can be used to give a complete exposition of analysis and design methods for multi-input, multi-output (MIMO) sampled-data systems.
Multivariable Computer-controlled Systems is divided into three parts:
- Preliminary algebraic material necessary in later chapters.
- Control problems, important in their own right but also having a substantial bearing on what follows.
- Frequency methods for the investigation of MIMO sampled-data systems (parametric discrete-time models; stability; stochastic methods; H2 optimization and L2 design).
Appendices covering basic mathematical formulae and two MATLAB® toolboxes round out this self-contained guide.
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