Quantized insensitive consensus of Lipschitz nonlinear multi-agent systems using the incidence matrix
From MaRDI portal
Publication:1660713
DOI10.1016/j.jfranklin.2015.07.015zbMath1395.93038OpenAlexW1096640994MaRDI QIDQ1660713
Fang Liao, Sundaram Suresh, Srikanth Narasimalu, Xiang-Gui Guo, Jian Liang Wang
Publication date: 16 August 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.07.015
Controllability (93B05) Nonlinear systems in control theory (93C10) Decentralized systems (93A14) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Agent technology and artificial intelligence (68T42)
Related Items
Consensus control for multi-agent systems with distributed parameter models via iterative learning algorithm ⋮ Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm ⋮ State estimation of networked system with multiple quantizers and channel packet dropouts ⋮ Static group synchronization of second-order multi-agent systems via pinning control ⋮ Finite‐time consensus for second‐order leader‐following multi‐agent systems with external disturbances and internal nonlinear dynamics based on event‐triggered pinning strategy ⋮ Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay ⋮ Formation tracking for nonlinear multi-agent systems with input and output quantization via adaptive output feedback control ⋮ Neuroadaptive quantized PID sliding‐mode control for heterogeneous vehicular platoon with unknown actuator deadzone ⋮ Quantized feedback fuzzy sliding mode control design via memory-based strategy ⋮ Leader-following consensus of multi-agent systems with limited data rate ⋮ Non-fragile quantized \(H_\infty\) output feedback control for nonlinear systems with quantized inputs and outputs ⋮ Guaranteed‐Performance Consensualization for High‐Order Lipschitz Nonlinear Multi‐Agent Systems with Balanced Directed Switching Topologies
Cites Work
- Unnamed Item
- Unnamed Item
- Decentralized sliding mode quantized feedback control for a class of uncertain large-scale systems with dead-zone input
- Non-fragile \(H_\infty\) filter design with sparse structure for linear discrete-time systems
- Distributed robust consensus control of multi-agent systems with heterogeneous matching uncertainties
- Adaptive coordinated tracking of multi-agent systems with quantized information
- \(H_{\infty}\) estimation for a class of Lipschitz nonlinear discrete-time systems with time delay
- Insensitive \(H_\infty \) filter design for continuous-time systems with respect to filter coefficient variations
- Distributed consensus over digital networks with limited bandwidth and time-varying topologies
- Stability analysis for multi-agent systems using the incidence matrix: quantized communication and formation control
- Output consensus of heterogeneous linear systems with quantized information
- Synchronization of discrete-time complex dynamical networks with interval time-varying delays via non-fragile controller with randomly occurring perturbation
- Quantization effects on synchronized motion of teams of mobile agents with second-order dynamics
- Distributed consensus of linear multi-agent systems with adaptive dynamic protocols
- Non-fragile \(H_\infty \) filter design for linear continuous-time systems
- The synchronization of linear systems under quantized measurements
- Quantized consensus
- Non-fragile synchronisation control for complex networks with missing data
- Nonfragile filtering for discrete-time linear systems in finite-frequency domain
- Adaptive motion coordination of passive systems under quantization effect
- Containment control of linear multi‐agent systems with multiple leaders of bounded inputs using distributed continuous controllers
- Non-fragile H<SUB>∞</SUB>Filter Design for Delta Operator Formulated Systems with Circular Region Pole Constraints: an LMI Optimization Approach
- Existence and design of observers for nonlinear systems: Relation to distance to unobservability
- Lyapunov stability theory of nonsmooth systems
- Robust, fragile, or optimal?
- Observers for Lipschitz nonlinear systems
- Coordination of Passive Systems under Quantized Measurements
- Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies
- A note on observers for Lipschitz nonlinear systems
- Consensus seeking in multiagent systems under dynamically changing interaction topologies
- Passivity as a Design Tool for Group Coordination
- Distributed Coordination of Multi-Agent Systems With Quantized-Observer Based Encoding-Decoding
- Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols
- Discontinuous dynamical systems
