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.<br>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.
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