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On the Local Quadratic Stability of T-S Fuzzy Systems in the Vicinity of the Origin
Moreover, we establish that the proposed methods offer necessary and sufficient conditions for the local exponential stability of T-S fuzzy systems.
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
The main goal of this paper is to investigate continuous-time distributed dynamic programming (DP) algorithms for networked multi-agent Markov decision problems (MAMDPs).
Finite-Time Analysis of Temporal Difference Learning: Discrete-Time Linear System Perspective
TD-learning is a fundamental algorithm in the field of reinforcement learning (RL), that is employed to evaluate a given policy by estimating the corresponding value function for a Markov decision process.
Control Theoretic Analysis of Temporal Difference Learning
The goal of this manuscript is to conduct a controltheoretic analysis of Temporal Difference (TD) learning algorithms.
Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Double Sum
The aim of this study is to investigate less conservative conditions for a parameterized linear matrix inequality (PLMI) expressed in the form of a double convex sum.
