LEADER 04406nam 22005175 450 001 9910484199003321 005 20200703114813.0 010 $a3-319-96202-7 024 7 $a10.1007/978-3-319-96202-3 035 $a(CKB)4100000005679234 035 $a(MiAaPQ)EBC5491464 035 $a(DE-He213)978-3-319-96202-3 035 $a(PPN)229915752 035 $a(EXLCZ)994100000005679234 100 $a20180809d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Control and Filtering of Dynamic Systems with Constrained Signals /$fby Ju H. Park, Hao Shen, Xiao-Heng Chang, Tae H. Lee 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (240 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v170 311 $a3-319-96201-9 327 $aIntroduction -- Network-based Control with Asynchronous Samplings and Quantizations -- Quantized Static Output Feedback Control For Discrete-Time Systems -- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data -- Reliable Event-triggered Retarded Dynamic Output Feedback H? Control for Networked Systems -- Reliable H? Event-triggered Control for Markov Jump Systems -- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems -- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization -- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems -- Network-based H? State Estimation for Neural Networks Using Limited Measurement -- Mixed H?/passive Synchronization for Complex Dynamical Networks with Sampled-data Control -- Index. 330 $aThis book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system?s stability and performance. This book discusses how to deal with such constraints to guarantee the system?s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v170 606 $aControl engineering 606 $aComputational intelligence 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aControl engineering. 615 0$aComputational intelligence. 615 14$aControl and Systems Theory. 615 24$aComputational Intelligence. 676 $a629.8312 700 $aPark$b Ju H$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064036 702 $aShen$b Hao$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChang$b Xiao-Heng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLee$b Tae H$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910484199003321 996 $aRecent Advances in Control and Filtering of Dynamic Systems with Constrained Signals$92850141 997 $aUNINA