Small Gain Theorem-Based Robustness Analysis of Discrete-Time MJLSs with the Markov Chain on a Borel Space and Its Application to NCSs
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Xiao, Chunjie, Hou, Ting, Zhang, Weihai, Deng, Feiqi |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Detectability, Riccati Equations, and the Game-Based Control of Discrete-Time MJLSs with the Markov Chain on a Borel Space
par: Xiao, Chunjie, et autres
Publié: (2025)
par: Xiao, Chunjie, et autres
Publié: (2025)
Stability and Bounded Real Lemmas of Discrete-Time MJLSs with the Markov Chain on a Borel Space
par: Xiao, Chunjie, et autres
Publié: (2024)
par: Xiao, Chunjie, et autres
Publié: (2024)
Stochastic Bounded Real Lemma and $H_{\infty}$ Control of Difference Systems in Hilbert Spaces
par: Li, Cheng'ao, et autres
Publié: (2026)
par: Li, Cheng'ao, et autres
Publié: (2026)
Small-Gain Theorem Based Distributed Prescribed-Time Convex Optimization For Networked Euler-Lagrange Systems
par: Zuo, Gewei, et autres
Publié: (2024)
par: Zuo, Gewei, et autres
Publié: (2024)
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
par: Srikant, R.
Publié: (2024)
par: Srikant, R.
Publié: (2024)
Mixed Small Gain and Phase Theorem: A new view using Scale Relative Graphs
par: Baron-Prada, Eder, et autres
Publié: (2025)
par: Baron-Prada, Eder, et autres
Publié: (2025)
Robust Markov Decision Processes on Continuous State Spaces
par: Li, Mengmeng, et autres
Publié: (2026)
par: Li, Mengmeng, et autres
Publié: (2026)
Improved Small-Signal L2 Gain Analysis for Nonlinear Systems
par: Strong, Amy, et autres
Publié: (2023)
par: Strong, Amy, et autres
Publié: (2023)
Linear and Nonlinear Event-Triggered Extended State Observers for Uncertain Stochastic Systems
par: Wu, Ze-Hao, et autres
Publié: (2023)
par: Wu, Ze-Hao, et autres
Publié: (2023)
Learning-based primal-dual optimal control of discrete-time stochastic systems with multiplicative noise
par: Jiang, Xiushan, et autres
Publié: (2025)
par: Jiang, Xiushan, et autres
Publié: (2025)
Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise
par: Wang, Fangji, et autres
Publié: (2026)
par: Wang, Fangji, et autres
Publié: (2026)
Chance-Constrained Covariance Steering for Discrete-Time Markov Jump Linear Systems
par: Shrivastava, Shaurya, et autres
Publié: (2025)
par: Shrivastava, Shaurya, et autres
Publié: (2025)
Event-Triggered Active Disturbance Rejection Control for Uncertain Random Nonlinear Systems
par: Wu, Ze-Hao, et autres
Publié: (2023)
par: Wu, Ze-Hao, et autres
Publié: (2023)
Analysis and Design of Satellite Constellation Spare Strategy Using Markov Chain
par: Han, Seungyeop, et autres
Publié: (2024)
par: Han, Seungyeop, et autres
Publié: (2024)
Analysis of Discrete-Time Switched Linear Systems under Logic Dynamic Switchings
par: Zhang, Xiao, et autres
Publié: (2022)
par: Zhang, Xiao, et autres
Publié: (2022)
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
par: Lin, Zhenwei, et autres
Publié: (2024)
par: Lin, Zhenwei, et autres
Publié: (2024)
Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
par: Wang, Shengbo, et autres
Publié: (2025)
par: Wang, Shengbo, et autres
Publié: (2025)
Robust Adaptive Discrete-Time Control Barrier Certificate
par: Liu, Changrui, et autres
Publié: (2025)
par: Liu, Changrui, et autres
Publié: (2025)
Spare Strategy Analysis and Design for Mega Satellite Constellations Using Markov Chain
par: Han, Seungyeop, et autres
Publié: (2025)
par: Han, Seungyeop, et autres
Publié: (2025)
A Cyclic Small Phase Theorem
par: Chen, Chao, et autres
Publié: (2023)
par: Chen, Chao, et autres
Publié: (2023)
Spectral Decomposition of Discrete-Time Controllability Gramian and Its Inverse via System Eigenvalues
par: Iskakov, Alexey
Publié: (2026)
par: Iskakov, Alexey
Publié: (2026)
Model-free stochastic linear quadratic control for discrete-time systems with multiplicative and additive noises via semidefinite programming
par: Guo, Jing, et autres
Publié: (2025)
par: Guo, Jing, et autres
Publié: (2025)
Model-free stochastic linear quadratic design by semidefinite programming
par: Guo, Jing, et autres
Publié: (2024)
par: Guo, Jing, et autres
Publié: (2024)
Counterexample-Guided Synthesis of Robust Discrete-Time Control Barrier Functions
par: Shakhesi, Erfan, et autres
Publié: (2025)
par: Shakhesi, Erfan, et autres
Publié: (2025)
Storage Participation in Electricity Markets: Time Discretization through Robust Optimization
par: Lauinger, Dirk, et autres
Publié: (2025)
par: Lauinger, Dirk, et autres
Publié: (2025)
Beyond Nonlinear Small-Gain Design: DADS with Partial-State Feedback
par: Karafyllis, Iasson, et autres
Publié: (2026)
par: Karafyllis, Iasson, et autres
Publié: (2026)
Simulation-Based Optimization over Discrete Spaces using Projection to Continuous Latent Spaces
par: Hernández-Morales, Gabriel, et autres
Publié: (2025)
par: Hernández-Morales, Gabriel, et autres
Publié: (2025)
Markov Chains of Evolutionary Games with a Small Number of Players
par: Kehagias, Athanasios
Publié: (2025)
par: Kehagias, Athanasios
Publié: (2025)
Robust Market Convergence: From Discrete to Continuous Time
par: Criens, David
Publié: (2024)
par: Criens, David
Publié: (2024)
Robust Cooperative Output Regulation of Discrete-Time Heterogeneous Multi-Agent Systems
par: Gul, Kursad Metehan, et autres
Publié: (2026)
par: Gul, Kursad Metehan, et autres
Publié: (2026)
Data-driven robust Markov decision processes on Borel spaces: performance guarantees via an axiomatic approach
par: Ramani, Sivaramakrishnan
Publié: (2026)
par: Ramani, Sivaramakrishnan
Publié: (2026)
Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem
par: Li, Jianhui, et autres
Publié: (2024)
par: Li, Jianhui, et autres
Publié: (2024)
Incremental Gain Computation and Regulation of Discrete-time Positive Luré Systems using Linear Programming
par: Miller, Jared
Publié: (2025)
par: Miller, Jared
Publié: (2025)
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems
par: Tafazzol, Saeid, et autres
Publié: (2023)
par: Tafazzol, Saeid, et autres
Publié: (2023)
Tractable Robust Markov Decision Processes
par: Grand-Clément, Julien, et autres
Publié: (2024)
par: Grand-Clément, Julien, et autres
Publié: (2024)
An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes
par: Liu, Huikang, et autres
Publié: (2024)
par: Liu, Huikang, et autres
Publié: (2024)
A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains
par: Parasnis, Rohit, et autres
Publié: (2022)
par: Parasnis, Rohit, et autres
Publié: (2022)
Model-free $H_{\infty}$ control of Itô stochastic system via off-policy reinforcement learning
par: Guo, Jing Guo Jing, et autres
Publié: (2024)
par: Guo, Jing Guo Jing, et autres
Publié: (2024)
Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications
par: Ye, Lintao, et autres
Publié: (2023)
par: Ye, Lintao, et autres
Publié: (2023)
A First-Order Gradient Approach for the Connectivity Optimization of Markov Chains
par: Franssen, Christian P. C., et autres
Publié: (2024)
par: Franssen, Christian P. C., et autres
Publié: (2024)
Documents similaires
-
Detectability, Riccati Equations, and the Game-Based Control of Discrete-Time MJLSs with the Markov Chain on a Borel Space
par: Xiao, Chunjie, et autres
Publié: (2025) -
Stability and Bounded Real Lemmas of Discrete-Time MJLSs with the Markov Chain on a Borel Space
par: Xiao, Chunjie, et autres
Publié: (2024) -
Stochastic Bounded Real Lemma and $H_{\infty}$ Control of Difference Systems in Hilbert Spaces
par: Li, Cheng'ao, et autres
Publié: (2026) -
Small-Gain Theorem Based Distributed Prescribed-Time Convex Optimization For Networked Euler-Lagrange Systems
par: Zuo, Gewei, et autres
Publié: (2024) -
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
par: Srikant, R.
Publié: (2024)