{"product_id":"linear-systems-theory-a-structural-decomposition-approach-textbook","title":"Linear Systems Theory: A Structural Decomposition Approach - Textbook","description":"\u003cp\u003eIn this review of Linear Systems Theory: A Structural Decomposition Approach, the bottom line is straightforward: this is a rigorous, example-driven textbook for engineers and graduate students who need a deep, structural understanding of linear systems. The authors present a comprehensive treatment of structural decompositions across many linear system types, and the book's strongest reason to buy is its focus on practical insight for control problems such as stabilization and disturbance decoupling. Readers who want a unified, mathematically precise approach with MATLAB-based algorithms will find real value here.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive coverage:\u003c\/strong\u003e The text treats structural decompositions for autonomous, unforced, unsensed, strictly proper and non-strictly proper systems, giving a single source for these related topics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDescriptor systems included:\u003c\/strong\u003e Discussion of descriptor or singular systems provides essential context for models that arise in industrial process control and complex engineering systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplication focus:\u003c\/strong\u003e The book connects structural properties to control problems like stabilization, disturbance decoupling, and robust control, making theory applicable to aircraft, ship, and process automation control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorked examples and exercises:\u003c\/strong\u003e Exercises, case studies and examples reinforce concepts and make the material suitable for classroom use at undergraduate and graduate levels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMATLAB algorithms:\u003c\/strong\u003e MATLAB-based computational and design routines are provided to turn abstract decompositions into practical analysis and design steps.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThe primary audience is advanced undergraduates, graduate students and practicing control engineers who need a systematic, structural approach to linear systems. Those studying aeronautics, astronautics, industrial control or systems engineering will benefit from the breadth and mathematical depth.\u003c\/p\u003e\u003cp\u003eReaders seeking an introductory or highly applied how-to manual without rigorous proofs may find the level demanding; similarly, practitioners looking only for quick design recipes with minimal theory should consider more compact applied texts instead.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThorough treatment of structural decompositions gives a unified mathematical framework useful in many control problems.\u003c\/li\u003e\n\u003cli\u003eIncludes descriptor system discussion, expanding applicability to singular models in industry.\u003c\/li\u003e\n\u003cli\u003eExercises, case studies and MATLAB algorithms bridge theory and computation for classroom and research use.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe material is mathematically dense and best suited to readers with prior linear systems exposure.\u003c\/li\u003e\n\u003cli\u003eNot a quick-reference design guide for practitioners who prefer only applied procedures.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eLinear Systems Theory: A Structural Decomposition Approach\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eBen M. Chen, Zongli Lin, Yacov Shamash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eStructural decompositions of various linear system types\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem types covered\u003c\/td\u003e\n\u003ctd\u003eAutonomous, unforced\/unsensed, strictly and non-strictly proper, descriptor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePedagogy\u003c\/td\u003e\n\u003ctd\u003eExercises, examples, case studies and MATLAB algorithms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplications\u003c\/td\u003e\n\u003ctd\u003eIndustrial process control, aircraft and ship control, process automation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eLinear Systems Theory: A Structural Decomposition Approach is a strong, well-structured textbook for students and engineers who need a rigorous foundation in structural system theory and practical MATLAB tools. It is good value for readers who want a single reference that connects decomposition theory to real control problems, though those seeking lighter, purely applied guides should look elsewhere.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes this book include practical examples and code?\u003c\/strong\u003e\u003cbr\u003eYes. The book contains examples, case studies and MATLAB-based computational and design algorithms to apply the theory.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhich system types are covered in detail?\u003c\/strong\u003e\u003cbr\u003eThe authors cover autonomous, unforced or unsensed, strictly and non-strictly proper systems, and descriptor or singular systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs this suitable for undergraduate coursework?\u003c\/strong\u003e\u003cbr\u003eYes. With prior linear systems background it is suitable as a textbook for advanced undergraduate and graduate courses in control engineering.\u003c\/p\u003e","brand":"Ben M. Chen, Zongli Lin, Yacov Shamash","offers":[{"title":"Default Title","offer_id":48689742676187,"sku":"1461273943","price":54.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61Kpt0YdnzL._SL1256.jpg?v=1778709586","url":"https:\/\/gearmusthave.com\/products\/linear-systems-theory-a-structural-decomposition-approach-textbook","provider":"GearMustHave","version":"1.0","type":"link"}