{"product_id":"nonlinear-control-and-filtering-for-stochastic-networked-systems","title":"Nonlinear Control and Filtering for Stochastic Networked Systems","description":"\u003cp\u003eIn this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and\/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories\/techniques developed are applied to emerging research areas.\u003c\/p\u003e\u003cp\u003eKey Features\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eUnifies existing and emerging concepts concerning stochastic control\/filtering and distributed control\/filtering with an emphasis on a variety of network-induced complexities\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eIncludes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems)\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eExploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical\/computational challenges\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eCaptures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eGives simulation examples in each chapter to reflect the engineering practice\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003c\/ul\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45588891074798,"sku":"9780367656867","price":80.8,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780367656867.jpg?v=1721215473","url":"https:\/\/bookland.com.au\/products\/nonlinear-control-and-filtering-for-stochastic-networked-systems","provider":"Book Land AU","version":"1.0","type":"link"}