Game-theory-based consensus learning of double-integrator agents in the presence of worst-case adversaries
DOI10.1007/s10957-018-1268-7zbMath1410.93015OpenAlexW2794929787MaRDI QIDQ1637360
João P. Hespanha, Kyriakos G. Vamvoudakis
Publication date: 8 June 2018
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-018-1268-7
Control/observation systems governed by partial differential equations (93C20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Decentralized systems (93A14) Rationality and learning in game theory (91A26)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Robust and adaptive control. With aerospace applications.
- \(\mathcal H_{\infty}\) almost output synchronization for heterogeneous networks of introspective agents under external disturbances
- Phase synchronization control of complex networks of Lagrangian systems on adaptive digraphs
- Nonlinear protocols for optimal distributed consensus in networks of dynamic agents
- Multi-agent team cooperation: a game theory approach
- Adaptive nonlinear control without overparametrization
- Dominant richness and improvement of performance of robust adaptive control
- Approximate solutions to the time-invariant Hamilton-Jacobi-Bellman equation
- Multi-agent differential graphical games: online adaptive learning solution for synchronization with optimality
- Resilient Distributed Control of Multi-agent Cyber-Physical Systems
- Detection in Adversarial Environments
- Low complexity resilient consensus in networked multi-agent systems with adversaries
- Network Security
- Adaptive Control Tutorial
- Multiagent Systems
- Viscosity Solutions of Hamilton-Jacobi Equations
- Adaptive nonlinear regulation: estimation from the Lyapunov equation
- L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
- Exponential stability of linear equations arising in adaptive identification
- Consensus and Cooperation in Networked Multi-Agent Systems
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles
- Coordination of groups of mobile autonomous agents using nearest neighbor rules
- Stable Flocking of Multiple Inertial Agents on Balanced Graphs
- Distributed Function Calculation via Linear Iterative Strategies in the Presence of Malicious Agents
- Consensus Computation in Unreliable Networks: A System Theoretic Approach
- Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations
This page was built for publication: Game-theory-based consensus learning of double-integrator agents in the presence of worst-case adversaries
