Output Consensus of Networked Hammerstein and Wiener Systems
From MaRDI portal
Publication:4630681
DOI10.1137/17M1162603zbMath1411.93166arXiv1711.00246OpenAlexW2964337808MaRDI QIDQ4630681
Publication date: 23 April 2019
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.00246
multi-agent systemHammerstein systemoutput consensusWiener systemdistributed stochastic approximation
Stochastic programming (90C15) Decentralized systems (93A14) Stochastic systems in control theory (general) (93E03) Agent technology and artificial intelligence (68T42)
Related Items
Distributed system identification for linear stochastic systems with binary sensors ⋮ A Low Gain Approach to Output Consensus of Networked Heterogeneous Linear Multi-Agent Systems
Cites Work
- Unnamed Item
- Distributed circular formation control of ring-networked nonholonomic vehicles
- Consensus for black-box nonlinear agents using optimistic optimization
- Finite-time consensus for multi-agent networks with unknown inherent nonlinear dynamics
- Distributed adaptive asymptotically consensus tracking control of nonlinear multi-agent systems with unknown parameters and uncertain disturbances
- Formation control of VTOL unmanned aerial vehicles with communication delays
- Asymptotic behavior of asynchronous stochastic approximation
- Mean square average-consensus under measurement noises and fixed topologies: necessary and sufficient conditions
- The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
- A new algorithm for the identification of multiple input Wiener systems
- On control of strong consensus for networked agents with noisy observations
- Stochastic approximation and its applications
- Consensus for multi-agent systems with inherent nonlinear dynamics under directed topologies
- Resilient consensus of second-order agent networks: asynchronous update rules with delays
- Leader-following consensus for a class of high-order nonlinear multi-agent systems
- Adaptive leader-following consensus for a class of higher-order nonlinear multi-agent systems with directed switching networks
- Consensus of Discrete-Time Second-Order Multiagent Systems Based on Infinite Products of General Stochastic Matrices
- Decentralized Robust Synchronization of Unknown High Order Nonlinear Multi-Agent Systems With Prescribed Transient and Steady State Performance
- Distributed Consensus of Second-Order Multi-Agent Systems With Heterogeneous Unknown Inertias and Control Gains Under a Directed Graph
- Observer Design for Tracking Consensus in Second-Order Multi-Agent Systems: Fractional Order Less Than Two
- A Multiple Lyapunov Function Approach to Distributed Synchronization Control of Multi-Agent Systems With Switching Directed Communication Topologies and Unknown Nonlinearities
- Distributed Adaptive Consensus Output Regulation of Network-Connected Heterogeneous Unknown Linear Systems on Directed Graphs
- Consensus and Cooperation in Networked Multi-Agent Systems
- On Consensus Algorithms for Double-Integrator Dynamics
- Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises
- Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior
- Coordination of groups of mobile autonomous agents using nearest neighbor rules
- Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
- Consensus seeking in multiagent systems under dynamically changing interaction topologies
- Adaptive Regulator for Hammerstein and Wiener Systems With Noisy Observations
- Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints
- Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols
- Multiagent Flocking Under General Communication Rule
- Multiagent Consensus With Noisy Communication: Stopping Rules Based on Network Graphs
- A Stochastic Approximation Method
