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Analysis and Design of Delayed Genetic Regulatory Networks / / by Xian Zhang, Yantao Wang, Ligang Wu
Analysis and Design of Delayed Genetic Regulatory Networks / / by Xian Zhang, Yantao Wang, Ligang Wu
Autore Zhang Xian
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (275 pages)
Disciplina 572.865
Collana Studies in Systems, Decision and Control
Soggetto topico Vibration
Dynamical systems
Dynamics
Computational intelligence
Vibration, Dynamical Systems, Control
Computational Intelligence
ISBN 3-030-17098-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stability Analysis for GRNs with Mixed Delays -- Stability Analysis of Delayed GRNs -- Stability Analysis for Delayed Switching GRNs -- Stability Analysis for Delayed Stochastic GRNs -- Stability Analysis for Delayed Reaction-Diffusion GRNs -- State Estimation for Delayed GRNs -- Guaranteed Cost Control for Delayed GRNs -- State Estimation for Delayed Reaction-Diffusion GRNs -- H State Estimation for Delayed Stochastic GRNs -- H State Estimation for Delayed Discrete-Time GRNs.
Record Nr. UNINA-9910337614403321
Zhang Xian  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis and synthesis for interval type-2 fuzzy-model-based systems / / by Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao
Analysis and synthesis for interval type-2 fuzzy-model-based systems / / by Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao
Autore Li Hongyi
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIX, 257 p. 60 illus., 55 illus. in color.)
Disciplina 006.3
Soggetto topico Computational intelligence
System theory
Statistical physics
Automatic control
Computational Intelligence
Systems Theory, Control
Applications of Nonlinear Dynamics and Chaos Theory
Control and Systems Theory
ISBN 981-10-0593-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Stability and Stabilization of CTIT2FMBSs -- Output-feedback Control of CTIT2FMBSs -- Sampled-Data Control of CTIT2FMBSs -- Output Tracking Control of CTIT2FSs -- Switched Output-feedback Control of CTIT2FMBSs -- Filter Design of CTIT2FMBSs -- Fault Detection of CTIT2FMBSs -- Model Reduction of CTIT2FMBSs -- Optimal Control of DTIT2FMBSs -- State-feedback Control of DTIT2FMBSs -- Static Output-feedback Control of DTIT2FMBSs -- Guaranteed Cost Output Tracking Control of DTIT2FMBSs.
Record Nr. UNINA-9910253967103321
Li Hongyi  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Control and filtering for semi-Markovian jump systems / / by Fanbiao Li, Peng Shi, Ligang Wu
Control and filtering for semi-Markovian jump systems / / by Fanbiao Li, Peng Shi, Ligang Wu
Autore Li Fanbiao
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVIII, 199 p. 39 illus., 34 illus. in color.)
Disciplina 620
Collana Studies in Systems, Decision and Control
Soggetto topico Automatic control
System theory
Control and Systems Theory
Systems Theory, Control
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Stochastic Stability of Semi-Markovian Jump Systems -- Constrained Regulation of Singular Semi-Markovian Jump Systems -- State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems -- Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems -- Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems -- Event-Triggered Fault Detection for Semi-Markovian Jump Systems -- Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems -- Fault Detection for Underactuated Manipulators Modeled by MJS -- Conclusion and Further Work. .
Record Nr. UNINA-9910149461803321
Li Fanbiao  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Filtering and control of stochastic jump hybrid systems / / by Xiuming Yao, Ligang Wu, Wei Xing Zheng
Filtering and control of stochastic jump hybrid systems / / by Xiuming Yao, Ligang Wu, Wei Xing Zheng
Autore Yao Xiuming
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (218 p.)
Disciplina 519.2
Collana Studies in Systems, Decision and Control
Soggetto topico Automatic control
System theory
Control and Systems Theory
Systems Theory, Control
ISBN 3-319-31915-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part I Robust Filtering -- Part II Robust Control.
Record Nr. UNINA-9910254245603321
Yao Xiuming  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Security of Cyber-Physical Systems
Security of Cyber-Physical Systems
Autore Wu Chengwei
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (293 pages)
Altri autori (Persone) YaoWeiran
SunGuanghui
WuLigang
Collana Studies in Systems, Decision and Control Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-88350-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Notations and Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Current Research on Securing CPSs -- 1.1.1 Advances in Detecting Attacks -- 1.1.2 Advances in Securing CPSs Under DoS Attacks -- 1.1.3 Advances in Securing CPSs Under Deception Attacks -- 1.2 Publication Contribution -- 1.3 Publication Outline -- Part I Secure Estimation and Control for CPSs Under DoS Attacks -- 2 Optimal DoS Attack Scheduling for CPSs -- 2.1 Introduction -- 2.2 System Formulation and Preliminaries -- 2.2.1 Physical Process Description -- 2.2.2 SINR-Based Communication Model -- 2.3 Remote Estimator Design -- 2.4 Attack Sequence Design and Energy Allocation -- 2.5 Simulation Results -- 2.6 Conclusion -- 3 Active Defense Control of CPSs via Sliding Mode -- 3.1 Introduction -- 3.2 System Formulation and Preliminaries -- 3.2.1 Physical Process Description -- 3.2.2 DoS Attack -- 3.3 Resilient Sliding Mode Control Design -- 3.3.1 Estimator Design -- 3.3.2 Sliding Mode Approach -- 3.3.3 Stability Analysis -- 3.3.4 Resilient Sliding Mode Controller Design -- 3.4 Active Defense-Based Resilient Control -- 3.4.1 Optimal Defense Strategy -- 3.4.2 Defense Scheme-Based Estimator -- 3.4.3 Sliding Dynamics Analysis -- 3.4.4 Resilient Sliding Mode Control Design with Defense Strategy -- 3.5 Conclusion -- 4 Learning Tracking Control for CPSs -- 4.1 Introduction -- 4.2 System Formulation and Preliminaries -- 4.2.1 Physical Process and Reference Model Descriptions -- 4.2.2 SINR-Based Communication Model -- 4.2.3 Control Objective -- 4.3 Optimal Tracking Controller Design and Stability Analysis -- 4.3.1 Analysis of the Value Function -- 4.3.2 Optimal Tracking Controller Design -- 4.3.3 Analysis of the Solution to the Riccati Equation -- 4.4 Q-Learning Optimal Tracking Scheme Design.
4.4.1 Convergence Analysis of Algorithm -- 4.5 Off-Policy Learning Control Algorithm -- 4.5.1 Model-Based Off-Policy Learning Control Scheme -- 4.5.2 Model-Free Off-Policy Learning Control Scheme -- 4.6 Conclusion -- 5 Intelligent Control for Nonlinear Networked Control Systems -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.2.1 System Description -- 5.2.2 Fuzzy Logic Systems -- 5.3 Adaptive Control Design -- 5.4 Simulation Results -- 5.5 Conclusion -- 6 Reliable Filtering of Sensor Networks -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.2.1 IT-2T-S Fuzzy Model -- 6.2.2 Failure Model -- 6.2.3 IT2 Fuzzy Reliable Distributed Filter Design -- 6.2.4 Filtering Error System -- 6.3 Main Results -- 6.4 Simulation Results -- 6.5 Conclusion -- Part II Secure Estimation and Control for CPSs Under False Data Injection Attacks -- 7 Secure Estimation for CPSs via Sliding Mode -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.2.1 CPSs Model -- 7.2.2 CPSs Model in Descriptor Form -- 7.2.3 Minimization Optimal Problem -- 7.2.4 Sliding Mode Observer -- 7.3 Secure Estimation Algorithm Design -- 7.3.1 Projection Operator -- 7.3.2 Sliding Mode Observer Secure Estimation Algorithm -- 7.4 Convergence Analysis of Algorithm 1 -- 7.4.1 Analysis for Time Update -- 7.4.2 Analysis for Projection Operator -- 7.4.3 Analysis for Estimation Update -- 7.4.4 Analysis for Terminated Conditions of Inner Loop -- 7.4.5 Analysis of Sliding Mode Error Rejection Term Design -- 7.5 Simulation Results -- 7.6 Conclusion -- 8 Zero-Sum Game Based Optimal Secure Control -- 8.1 Introduction -- 8.2 Problem Formulation -- 8.2.1 Physical Process Description -- 8.2.2 Actuator Attack -- 8.3 Main Results -- 8.3.1 Optimal Estimator Design -- 8.3.2 Zero-Sum Game Based Optimal Policies Design -- 8.3.3 Convergence of the Scheme -- 8.4 Extended Work -- 8.5 Simulation Results -- 8.6 Conclusion.
9 Proactive Secure Control for CPSs -- 9.1 Introduction -- 9.2 System Formulation and Preliminaries -- 9.2.1 Physical Process: A Switching System Representation -- 9.2.2 The Closed-Loop System Under Attacks -- 9.3 Moving Target Defense Control Scheme -- 9.3.1 Controller and Moving Target Defense Design -- 9.3.2 Stability Analysis -- 9.4 Attack Detection and Isolation -- 9.4.1 Attack Detection Observer Design -- 9.4.2 Attack Isolation Scheme -- 9.5 Moving Target Defense Control Design -- 9.5.1 Reinforcement Learning Based Reactive Control Scheme -- 9.5.2 Moving Target Defense Design -- 9.6 Simulation Results -- 9.7 Conclusion -- 10 Fault-Tolerant Tracking Control for Nonstrict-Feedback Systems -- 10.1 Introduction -- 10.2 System Description and Preliminaries -- 10.2.1 Nonstrict-Feedback System -- 10.2.2 Fault Model -- 10.2.3 Control Objective -- 10.2.4 Neural Networks -- 10.2.5 Observer Design -- 10.3 Observer-Based Adaptive Fault-Tolerant Control Design -- 10.4 Simulation Results -- 10.5 Conclusion -- 11 Deep Reinforcement Learning Control Approach to Mitigating Attacks -- 11.1 Introduction -- 11.2 System Formulation and Preliminaries -- 11.2.1 Physical System Description -- 11.2.2 CPSs Under Cyber Attacks -- 11.3 Deep Reinforcement Learning Based Secure Controller Design and Implementation -- 11.3.1 Markov Decision Process -- 11.3.2 Reinforcement Learning Algorithm -- 11.3.3 Deep Neural Networks Approximation -- 11.3.4 Implementation of Lyapupnov-Based Soft Actor-Critic Deep Reinforcement Learning Control Algorithm -- 11.4 Convergence and Stability Analysis -- 11.4.1 Algorithm Convergence Analysis -- 11.4.2 Data-Based Stability Analysis -- 11.5 Simulation Results -- 11.6 Conclusion -- 12 Conclusion and Further Work -- 12.1 Conclusion -- 12.2 Further Work -- Appendix References.
Altri titoli varianti Security of Cyber-Physical Systems
Record Nr. UNINA-9910506405603321
Wu Chengwei  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui