{"product_id":"estimation-and-control-of-dynamical-systems-stochastic-control","title":"Estimation and Control of Dynamical Systems - Stochastic Control","description":"\u003cp\u003eIn this review of Estimation and Control of Dynamical Systems, the bottom line is straightforward: this is a focused, concept-driven graduate text for researchers and PhD students who need a single reference that links classical control with stochastic methods and related topics. The book prioritizes usable ideas over formal proofs, making it a practical companion for applied mathematicians, engineers, and economists who want working understanding of \u003cstrong\u003estochastic control\u003c\/strong\u003e without wading through scattered papers.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive scope:\u003c\/strong\u003e Covers both classical and advanced topics in estimation and control, so readers can follow a coherent path from fundamentals to research-level material.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStochastic emphasis:\u003c\/strong\u003e Strong focus on stochastic control methods provides practical tools for systems influenced by randomness.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterdisciplinary links:\u003c\/strong\u003e Explores connections to mathematical finance and differential games, expanding the book's usefulness across fields.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSelf-contained style:\u003c\/strong\u003e The presentation favors concepts and worked examples over formal rigor, lowering the barrier for scientists applying control theory.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExercises and examples:\u003c\/strong\u003e Problems and examples throughout help reinforce key ideas and support use in PhD and graduate courses.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThis book is best for graduate students, PhD candidates, and researchers in applied mathematics, control engineering, economics, and management science who need a single, readable text that connects estimation, control and stochastic methods. Instructors running graduate courses that emphasize concepts and applications will find it suitable as a course reader.\u003c\/p\u003e\u003cp\u003ePractitioners looking for hands-on software recipes or exhaustive proofs may want a more applied manual or a formal treatise; likewise, readers seeking an introductory undergraduate text should consider more elementary control theory books 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\u003eWide coverage of both classical and advanced topics gives a unified reference for research work.\u003c\/li\u003e\n\u003cli\u003eThe emphasis on \u003cstrong\u003econceptual understanding\u003c\/strong\u003e makes it accessible to scientists from multiple disciplines.\u003c\/li\u003e\n\u003cli\u003eConnections to mathematical finance and differential games add practical interdisciplinary value.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eNot focused on full mathematical rigor, so readers wanting exhaustive proofs may find it light in formal detail.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eEstimation and Control of Dynamical Systems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eInterdisciplinary Applied Mathematics, 48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eAlain Bensoussan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject focus\u003c\/td\u003e\n\u003ctd\u003eEstimation, control and stochastic control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003ePhD and graduate students, applied researchers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContent features\u003c\/td\u003e\n\u003ctd\u003eExamples, exercises, interdisciplinary connections\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eEstimation and Control of Dynamical Systems is a strong, concept-oriented graduate text that serves researchers who need a coherent bridge between control theory and stochastic applications. Its interdisciplinary links and worked exercises make it good value for PhD courses and applied researchers, though those seeking exhaustive proofs should supplement it with more formal references.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIs this book suitable for a PhD course?\u003c\/strong\u003e\u003cbr\u003eYes. It is written with PhD and graduate students in mind and includes exercises appropriate for coursework.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes it cover stochastic control?\u003c\/strong\u003e\u003cbr\u003eYes. The book places particular emphasis on stochastic control and estimation techniques.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWill it teach rigorous proofs?\u003c\/strong\u003e\u003cbr\u003eThe presentation prioritizes concepts and applications; for exhaustive formal proofs, consult more specialized theoretical texts.\u003c\/p\u003e","brand":"Alain Bensoussan","offers":[{"title":"Default Title","offer_id":48201612361947,"sku":"3030092364","price":114.85,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61ipknXcDrL._SL1254.jpg?v=1770238414","url":"https:\/\/gearmusthave.com\/products\/estimation-and-control-of-dynamical-systems-stochastic-control","provider":"GearMustHave","version":"1.0","type":"link"}