There are many books on linear systems and control, many of them taking a specific tool or method as the focus of learning and understanding them. Indeed, many of the tools and methods adopted have their own mature and stable literature. This book provides a unifying framework in which to view and apply an understanding of the many challenges of linear systems design, namely linear systems algebra. The authors develop their description of linear systems algebra in the context of some familiar debates in the systems and control field: frequency domain versus state space methods; deterministic versus stochastic methods; control versus signal processing; modelling versus control design; scalar versus multiobjective methods; performance versus stability; and choosing a design space. Throughout the emphasis remains on how the linear systems algebra approach can be used to look at large numbers of classical and modern control problems.
There are many books on linear systems and control, many of them taking a specific tool or method as the focus of learning and understanding them. Indeed, many of the tools and methods adopted have their own mature and stable literature. This book provides a unifying framework in which to view and apply an understanding of the many challenges of linear systems design, namely linear systems algebra. The authors develop their description of linear systems algebra in the context of some familiar debates in the systems and control field: frequency domain versus state space methods; deterministic versus stochastic methods; control versus signal processing; modelling versus control design; scalar versus multiobjective methods; performance versus stability; and choosing a design space. Throughout the emphasis remains on how the linear systems algebra approach can be used to look at large numbers of classical and modern control problems.
This work investigates the design of compilers for procedural languages, based on the algebraic laws which these languages satisfy. The particular strategy adopted is to reduce an arbitrary source...
Comprehensive and accessible guide to the three main approaches to robust control design and its applications Optimal control is a mathematical field that is concerned with control policies that can...
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