LEADER 01255nas 2200397 c 450 001 9910891907603321 005 20251012104429.0 035 $a(DE-599)ZDB3091047-X 035 $a(OCoLC)1265453001 035 $a(DE-101)1239568894 035 $a(CKB)5450000000346103 035 $a(EXLCZ)995450000000346103 100 $a20210823a20189999 |y | 101 0 $arus 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aVestnik Volgogradskogo gosudarstvennogo universiteta$e= Science journal of VolSU$hSerija 8$iLiteraturovedenie, z?urnalistika = Literary criticism. Journalism 210 31$aVolgograd$cVolgogradskij gosudarstvennyj universitet$d[2018?]- 215 $aOnline-Ressource 311 08$a2408-946X 517 1 $aScience journal of VolSU 517 1 $aVestn. Volgogr. gos. un-ta 517 1 $aVestnik VolGU 608 $aZeitschrift$2gnd-content 676 $a070 676 $a891.8 712 02$aVolgogradskij gosudarstvennyj universitet$4isb 801 0$b0012 801 1$bDE-101 801 2$b9999 906 $aJOURNAL 912 $a9910891907603321 996 $aVestnik Volgogradskogo gosudarstvennogo universiteta$91908786 997 $aUNINA LEADER 12862nam 22008295 450 001 9910865292903321 005 20251113174927.0 010 $a9789819733286$b(electronic bk.) 010 $z9789819733279 024 7 $a10.1007/978-981-97-3328-6 035 $a(MiAaPQ)EBC31480339 035 $a(Au-PeEL)EBL31480339 035 $a(CKB)32306782200041 035 $a(DE-He213)978-981-97-3328-6 035 $a(OCoLC)1441133710 035 $a(EXLCZ)9932306782200041 100 $a20240615d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control $eSwarm Control Technologies /$fedited by Qing Wang, Xiwang Dong, Peng Song 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (725 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1205 311 08$aPrint version: Wang, Qing Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control Singapore : Springer,c2024 9789819733279 327 $aIntro -- Contents -- Inter-layer Generalized Synchronization for Fractional-Order Two-Layer Networks Based on Auxiliary-System Method -- 1 Introduction -- 2 Preliminaries -- 3 Inter-layer Generalized Synchronization for Fractional-Order Two-Layer Networks -- 4 Numerical Examples -- 5 Conclusion -- References -- Phase Transition at Small-Medium Scales Vicsek Model Based on Eigen Microstate Method -- 1 Introduction -- 2 Models -- 2.1 Standard Vicsek Model -- 2.2 The Method of Eigen Microstates ch2Li2021 -- 3 Experiment and Result -- 4 Conclusion -- References -- Robust Fixed-Time Synchronization for FitzHugh-Nagumo Networks with Fast-Slow Time Scales -- 1 Introduction -- 2 Preliminaries -- 2.1 Useful Lemmas for Fixed-Time Synchronization -- 2.2 Problem Formulation -- 3 Main Results -- 3.1 Reachability of the Sliding-Mode Surfaces -- 3.2 Dynamics on the Sliding-Mode Surfaces -- 4 Numerical Simulations -- 5 Conclusions -- References -- Adaptive Fault-Tolerant Formation Control for Multiple UAVs Under Unknown Actuator Faults -- 1 Introduction -- 2 RUAV Dynamics Analysis -- 3 Adaptive Fault-Tolerant Formation Control -- 3.1 Outer-Loop Formation Guidance -- 3.2 Inner-Loop Adaptive FTC -- 4 Simulation Results -- 5 Conclusion -- References -- Parameter Tuning of PMSM Sliding Mode Control Based on Multi-agent Reinforcement Learning -- 1 Introduction -- 2 Reinforcement Learning Algorithm Selection -- 3 Design of Reinforcement Learning Algorithm -- 3.1 Design of Sliding Mode Control Law -- 3.2 Design of Observations and Rewards -- 3.3 Actor Critical Network Design -- 3.4 Model Training -- 4 Simulation and Experiment -- 5 Summary -- References -- Finite-Iteration Consensus Tracking Control of Nonlinear Multi-agent Systems with Input Sharing -- 1 Introduction -- 2 Preliminaries and Problem Description -- 2.1 Notations -- 2.2 Graph Theory. 327 $a2.3 Problem Description -- 3 Main Results -- 4 Numerical Example -- 5 Conclusion -- References -- Overview of UAV Swarm Communication and Cooperative Operation in Denial Environment -- 1 Introduction -- 2 Typical Communication Mode of Drone Swarm -- 3 Unmanned Aerial Vehicle Ad Hoc Network -- 3.1 Concept and Characteristics of Unmanned Aerial Vehicle Self-organizing Network -- 3.2 UAV Ad Hoc Network Protocol Hierarchical Database Model -- 3.3 Key Technologies of Unmanned Aerial Vehicle Ad Hoc Networks -- 4 UAV Collaborative Operations -- 5 Conclusion -- References -- Online Updating Data-Driven Model Predictive Control for Quadrotors in Close Formation Based on Gaussian Process Regression -- 1 Introduction -- 2 Methodology -- 2.1 Notion -- 2.2 Quadrotor Dynamics -- 2.3 Gaussian Process Regression -- 2.4 Data Collection and Model Learning -- 2.5 Model Predictive Control -- 3 Simulation Experiment -- 3.1 Overview -- 3.2 Aerodynamic Effects -- 3.3 Simulation Setup -- 3.4 Result Analysis -- 4 Conclusion -- References -- Stability Analysis of the Heterogeneous Vehicle Platoon with Multiple Delays -- 1 Introduction -- 2 Preliminaries -- 2.1 Vehicle Dynamics and Communication Topology -- 2.2 Distributed Controller with Multiple Delays -- 2.3 Closed-Loop Platoon Dynamics -- 3 The Stability Analysis of the Heterogeneous Vehicle Platoon with Multiple Delays -- 3.1 Internal Stability Analysis -- 3.2 String Stability Analysis -- 4 Simulations -- 4.1 Internal Stability Verification -- 4.2 String Stability Verification -- 5 Conclusion -- References -- Resilient Consensus for Discrete-Time Multi-agent Systems with Dynamic Leader and Tolerance to Node Failure -- 1 Introduction -- 2 Preliminaries and Problem Statement -- 3 Main Results -- 3.1 Resilient Consensus Protocol -- 4 Robust Graphs Tolerant to Node Failure -- 5 Simulation -- 6 Conclusion -- References. 327 $aConsensus Problem of Discrete-Time Linear Multi-agent Systems with Non-convex Control Input and State Constraints -- 1 Introduction -- 2 Notations and Preliminaries -- 3 Model and Problem Statement -- 4 Algorithm and Model Conversion -- 5 Consensus Analysis -- 6 Numerical Example -- 7 Conclusion -- References -- Model-Free Formation Control: Multi-input Adaptive Super-Twisting Approach Based on Barrier Function -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Quadrotor Position Model -- 2.2 Useful Lemmas and Assumptions -- 3 Adaptive STWC Design Based on Barrier Function -- 3.1 Design of Sliding Motion -- 3.2 Convergence Analysis -- 4 Simulation -- 5 Conclusion -- References -- Dynamic Event-Triggered Optimal Consensus Control of Nonlinear Multi-agent Systems with Input Saturation -- 1 Introduction -- 2 Preliminaries and Problem Formulation -- 2.1 Algebraic Graph Theory -- 2.2 Problem Formulation -- 3 Optimal Consensus Control Protocol Design -- 3.1 Distributed Control Protocol Based on ADP Method -- 3.2 Online ADP Scheme for the Coupled HJB Equation -- 4 DETC Optimal Consesus Control Design -- 4.1 DETC Design -- 4.2 Stability Analysis -- 5 Simulation -- 6 Conclusions -- References -- Collision-Free Formation Control of Multi-agent System with Low Oscillation -- 1 Introduction -- 2 Background -- 2.1 Graph Theory -- 2.2 Multi-agent System -- 3 Main Results -- 3.1 Formation Control Algorithm -- 3.2 Stability Analysis -- 3.3 Collision Avoidance Analysis -- 4 Experiment -- 5 Conclusion -- References -- Robust Cooperative Control for a Class of Heterogeneous Air-Ground System -- 1 Introduction -- 2 Mathematical Model -- 2.1 Graph Theory -- 2.2 Model of Air-Ground System -- 2.3 Control Problem Statement -- 3 Robust Coordinated Controller Design -- 4 Robust Stability Analysis -- 5 Simulation Results -- 6 Conclusion -- References. 327 $aFinite-Time Extended State Observer-Based Performance-Critical Control for Uncertain MIMO Nonlinear Systems -- 1 Introduction -- 2 Preliminaries and Problem Formulation -- 2.1 Notations -- 2.2 Preliminaries -- 2.3 Problem Formulation -- 3 Controller Design and Analysis -- 3.1 Finite-Time Extended State Observer -- 3.2 Design and Analysis of Controller -- 4 Simulation Example -- 5 Conclusions -- References -- Distributed Control of Multi-unmanned Aerial Vehicle Circumnavigation Formation Based on Partial Differential Equations -- 1 Introduction -- 2 Overall System Design and Problem Description -- 2.1 Formation Control Law Design -- 2.2 Collision Avoidance Design with Repulsion Field Function -- 2.3 State Estimation Algorithm Based on Kalman Filter -- 3 Numerical Simulation -- 3.1 Scenario Design -- 3.2 Parameter Setting -- 4 Simulation Experiment -- 4.1 Simulation System Architecture -- 4.2 Simulation Results -- 4.3 Result Analysis -- 5 Conclusion -- References -- QMIX: Monotone Valued Function Decomposition Algorithm for Switching Formation-Contrianment Control with Local Information -- 1 Introduction -- 2 Problem Description and Topology Setting -- 2.1 Task Description -- 2.2 UAVs Topology Model -- 2.3 Formation Setting -- 3 Design of Formation-Containment Control Algorithms for Arbitrary Topological Shapes -- 3.1 Hungarian Algorithm Assignment -- 3.2 Design of Formation-Containment Algorithm -- 4 Simulation -- 4.1 Analysis of Algorithm Complexity -- 4.2 Analysis of Simulation Results -- 4.3 Simulation Testing of Formation-Containment Control -- 4.4 Model Comparison and Verification -- 5 Conclusion -- References -- Data-Driven Model Predictive Control Strategy for Battery Energy Storage System -- 1 Introduction -- 2 Mathematical Modeling -- 2.1 Equivalent Circuit Model -- 2.2 BESS Model Description -- 3 Koopman MPC of BESS. 327 $a3.1 The Koopman Operator -- 3.2 Data-Driven Based Koopman Linearization -- 3.3 Model Predictive Control -- 4 Simulation Results -- 5 Conclusion and Future Work -- References -- Gaussian Process Regression Based Pose Tracking Control for Multiple Spacecraft Rendezvous -- 1 Introduction -- 2 Preliminaries and Problem Statement -- 2.1 Modeling of Relative Motion Dynamics -- 2.2 Gaussian Process Regression -- 2.3 Control Objective -- 3 Controller Design and Stability Analysis -- 3.1 Ideal Model Based Nominal Controller Design -- 3.2 GPR-Based Uncertainty Online Learning -- 3.3 GPR-Based Pose Tracking Controller Design -- 3.4 Stability Analysis of Controlled System -- 4 Simulation Example -- 5 Conclusions -- References -- Resilient Consensus-Based Distributed Signal Reconstruction Against Byzantine Attacks -- 1 Introduction -- 2 Preliminaries -- 2.1 Mathematical Notation and Terminology -- 2.2 Sensor Network -- 2.3 Byzantine Attacks -- 3 Main Result -- 4 Simulation Examples -- 5 Conclusion -- References -- Safety Assurance in Multi-UAV Formation Tracking Control Amidst Missile Threats -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 System Dynamic -- 2.3 Relaxed Converse Control Lyapunov-Barrier Functions -- 3 Distributed Safety-Stability Formation Control Strategy -- 3.1 Controller Design of Leader UAV -- 3.2 Controller Design of Follower UAV -- 4 Safety-Stability Analysis -- 5 Simulation Verification -- 6 Conclusion -- References -- Multi-agent Deep Reinforcement Learning Based Multi-objective Charging Control for Electric Vehicle Charging Station -- 1 Introduction -- 2 Problem Formulation -- 2.1 Operation Details of the EVCS -- 2.2 Multiple Objectives of the Charging Control -- 3 Markov Game Model -- 3.1 Markov Game Formulation -- 3.2 Policies and Goals -- 4 Multi-agent Actor-Double-Critic Algorithm -- 4.1 Individual Learning. 327 $a4.2 Collective Learning. 330 $aThis book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1205 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aSignal processing 606 $aComputational intelligence 606 $aMultiagent systems 606 $aSystem theory 606 $aControl theory 606 $aControl, Robotics, Automation 606 $aSignal, Speech and Image Processing 606 $aComputational Intelligence 606 $aMultiagent Systems 606 $aSystems Theory, Control 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aSignal processing. 615 0$aComputational intelligence. 615 0$aMultiagent systems. 615 0$aSystem theory. 615 0$aControl theory. 615 14$aControl, Robotics, Automation. 615 24$aSignal, Speech and Image Processing. 615 24$aComputational Intelligence. 615 24$aMultiagent Systems. 615 24$aSystems Theory, Control. 676 $a629.8 700 $aWang$b Qing$01243072 701 $aDong$b Xiwang$0762231 701 $aSong$b Peng$01742212 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910865292903321 996 $aProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control$94168800 997 $aUNINA