000866194 000__ 04875cam\a2200541Ii\4500 000866194 001__ 866194 000866194 005__ 20230306145815.0 000866194 006__ m\\\\\o\\d\\\\\\\\ 000866194 007__ cr\cn\nnnunnun 000866194 008__ 190319s2019\\\\sz\a\\\\ob\\\\001\0\eng\d 000866194 019__ $$a1090284968$$a1090443564$$a1090546005 000866194 020__ $$a9783030118693$$q(electronic book) 000866194 020__ $$a303011869X$$q(electronic book) 000866194 020__ $$z9783030118686 000866194 020__ $$z3030118681 000866194 035__ $$aSP(OCoLC)on1090130108 000866194 035__ $$aSP(OCoLC)1090130108$$z(OCoLC)1090284968$$z(OCoLC)1090443564$$z(OCoLC)1090546005 000866194 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dYDX$$dEBLCP$$dGW5XE$$dUKMGB 000866194 049__ $$aISEA 000866194 050_4 $$aTA169 000866194 08204 $$a620.00452$$223 000866194 1001_ $$aPatan, Krzysztof,$$eauthor. 000866194 24510 $$aRobust and fault-tolerant control :$$bneural-network-based solutions /$$cKrzysztof Patan. 000866194 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000866194 264_4 $$c©2019 000866194 300__ $$a1 online resource :$$billustrations. 000866194 336__ $$atext$$btxt$$2rdacontent 000866194 337__ $$acomputer$$bc$$2rdamedia 000866194 338__ $$aonline resource$$bcr$$2rdacarrier 000866194 4901_ $$aStudies in systems, decision and control ;$$vvolume 197 000866194 504__ $$aIncludes bibliographical references and index. 000866194 5050_ $$aIntro; Foreword; Preface; Acknowledgements; Contents; Notation; Symbols; Operators; Abbreviations; List of Figures; List of Tables; 1 Introduction; 1.1 Scope of the Book; 1.2 The Structure of the Book; References; 2 Neural Networks; 2.1 Introduction; 2.2 Static Models; 2.2.1 The Model of an Artificial Neuron; 2.2.2 Feed-Forward Multilayer Networks; 2.2.3 Radial Basis Networks; 2.2.4 A Kohonen Network; 2.2.5 A Learning Vector Quantization; 2.2.6 Deep-Belief Networks; 2.2.7 A Neural Network Ensemble; 2.2.8 Probabilistic Networks; 2.3 Dynamic Models; 2.3.1 Neural Networks with External Dynamics 000866194 5058_ $$a2.3.2 Fully Recurrent Networks2.3.3 Partially Recurrent Networks; 2.3.4 Locally Recurrent Networks; 2.3.5 State-Space Neural Networks; 2.3.6 Spiking Neural Networks; 2.3.7 A Long Short-Term Memory; 2.4 Developing Models; 2.4.1 Forward Modelling; 2.4.2 Inverse Modelling; 2.5 Robust Models; 2.5.1 Nonlinear Set-Membership Identification; 2.5.2 Model Error Modelling; 2.5.3 Statistical Bounds; 2.6 Conclusions; References; 3 Robust and Fault-Tolerant Control; 3.1 The Context of Control Systems; 3.1.1 Control Based on Neural Networks; 3.2 Robust Control; 3.2.1 Uncertainty Description 000866194 5058_ $$a3.3 Fault-Tolerant Control3.4 Conclusions; References; 4 Model Predictive Control; 4.1 Introduction; 4.2 Nonlinear Model Predictive Control; 4.2.1 System Modelling; 4.2.2 Uncertainty Handling; 4.2.3 Stability Analysis; 4.2.4 Nonlinear Optimization with Constraints; 4.2.5 Terminal Constraints Handling; 4.2.6 A Complete Optimization Procedure; 4.2.7 Model Linearization; 4.3 Fault-Tolerant MPC; 4.3.1 A Fault-Diagnosis Unit; 4.3.2 Sensor Fault Size Estimation; 4.4 An Experimental Study -- A Tank Unit; 4.4.1 A Tank Unit; 4.4.2 Plant Modelling; 4.4.3 Control; 4.4.4 Fault Diagnosis 000866194 5058_ $$a4.4.5 Fault Tolerance4.5 Robust MPC; 4.5.1 Robust Stability; 4.6 An Experimental Study -- A Pneumatic Servo; 4.6.1 The Fundamental Model; 4.6.2 Constrained MPC; 4.6.3 Robust Performance; 4.6.4 Uncertainty Modelling; 4.6.5 Robust MPC; 4.6.6 Stability Considerations; 4.7 Robust MPC via Statistical Bounds; 4.8 An Experimental Study -- The Pneumatic Servo Revisited; 4.8.1 Modelling; 4.8.2 Uncertainty Modelling; 4.8.3 Control; 4.9 Concluding Remarks; References; 5 Control Reconfiguration; 5.1 Introduction; 5.2 Problem Formulation; 5.3 Process Modelling; 5.3.1 A Model of the Process 000866194 5058_ $$a5.3.2 A Nonlinear Observer5.3.3 A Linearization of the State-Space Model; 5.4 Fault Detection; 5.5 Stability Analysis; 5.5.1 P Controller; 5.5.2 PI Controller; 5.5.3 Sufficient Conditions for Stability; 5.6 An Experimental Study -- The Tank Unit Revisited; 5.6.1 Process Modelling; 5.6.2 Model Error Modelling; 5.6.3 Fault Compensation; 5.6.4 Stability Analysis; 5.7 An Experimental Study -- A Two-Tank Laboratory System; 5.7.1 The System Assumptions and Configuration; 5.7.2 Modelling; 5.7.3 Fault Detection; 5.7.4 Fault Compensation; 5.7.5 Stability Analysis; 5.8 Conclusions; References 000866194 506__ $$aAccess limited to authorized users. 000866194 588__ $$aOnline resource; title from PDF title page (viewed March 20, 2019). 000866194 650_0 $$aFault tolerance (Engineering) 000866194 650_0 $$aControl theory. 000866194 650_0 $$aFault location (Engineering) 000866194 650_0 $$aNeural networks (Computer science) 000866194 77608 $$iPrint version: $$z3030118681$$z9783030118686$$w(OCoLC)1080246520 000866194 830_0 $$aStudies in systems, decision and control ;$$vv. 197. 000866194 852__ $$bebk 000866194 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-11869-3$$zOnline Access$$91397441.1 000866194 909CO $$ooai:library.usi.edu:866194$$pGLOBAL_SET 000866194 980__ $$aEBOOK 000866194 980__ $$aBIB 000866194 982__ $$aEbook 000866194 983__ $$aOnline 000866194 994__ $$a92$$bISE