Search Results - "Modares, Hamidreza"
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1
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Published in IEEE transaction on neural networks and learning systems (01-06-2018)“…This paper reviews the current state of the art on reinforcement learning (RL)-based feedback control solutions to optimal regulation and tracking of single…”
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2
Optimized Assistive Human-Robot Interaction Using Reinforcement Learning
Published in IEEE transactions on cybernetics (01-03-2016)“…An intelligent human-robot interaction (HRI) system with adjustable robot behavior is presented. The proposed HRI system assists the human operator to perform…”
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3
Deterministic and Stochastic Fixed-Time Stability of Discrete-time Autonomous Systems
Published in IEEE/CAA journal of automatica sinica (01-04-2023)“…This paper studies deterministic and stochastic fixed-time stability of autonomous nonlinear discrete-time (DT) systems. Lyapunov conditions are first…”
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4
Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning
Published in IEEE/CAA journal of automatica sinica (01-03-2022)“…The asymmetric input-constrained optimal synchronization problem of heterogeneous unknown nonlinear multiagent systems (MASs) is considered in the paper…”
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5
Conflict-Aware Safe Reinforcement Learning: A Meta-Cognitive Learning Framework
Published in IEEE/CAA journal of automatica sinica (01-03-2022)“…In this paper, a data-driven conflict-aware safe reinforcement learning (CAS-RL) algorithm is presented for control of autonomous systems. Existing safe RL…”
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6
Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
Published in IEEE Open Journal of Control Systems (2024)“…This paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise…”
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7
Finite-Time Distributed Identification for Nonlinear Interconnected Systems
Published in IEEE/CAA journal of automatica sinica (01-07-2022)“…In this paper, a novel finite-time distributed identification method is introduced for nonlinear interconnected systems. A distributed concurrent…”
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8
Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning
Published in IEEE/CAA journal of automatica sinica (01-01-2022)“…In this paper, we present a novel data-driven design method for the human-robot interaction (HRI) system, where a given task is achieved by cooperation between…”
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9
Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games
Published in IEEE access (2019)“…This paper develops an integral value iteration (VI) method to efficiently find online the Nash equilibrium solution of two-player non-zero-sum (NZS)…”
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10
Model reference adaptive impedance control for physical human-robot interaction
Published in Control theory and technology (01-02-2016)“…This paper presents a novel enhanced human-robot interaction system based on model reference adaptive control. The presented method delivers guaranteed…”
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11
Data-Driven Safe Control of Uncertain Linear Systems Under Aleatory Uncertainty
Published in IEEE transactions on automatic control (01-01-2024)“…Safe control of constrained uncertain linear systems under aleatory uncertainty is considered. Aleatory uncertainty characterizes random noises and is modeled…”
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12
A unified approach to output synchronization of heterogeneous multi-agent systems via L2-gain design
Published in Control theory and technology (01-11-2017)“…In this paper, a unified design procedure is given for output synchronization of heterogeneous multi-agent systems (MAS) on communication graph topologies,…”
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13
Data-driven safe control via finite-time Koopman identifier
Published in International journal of control (02-10-2024)“…In this paper, a novel data-driven invariant-based safe control scheme for control of a nonlinear vehicle is developed. First, a novel incremental finite-time…”
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14
Resilient Autonomous Control of Distributed Multiagent Systems in Contested Environments
Published in IEEE transactions on cybernetics (01-11-2019)“…An autonomous and resilient controller is proposed for leader-follower multiagent systems under uncertainties and cyber-physical attacks. The leader is assumed…”
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15
Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation
Published in IEEE transaction on neural networks and learning systems (01-02-2023)“…This article presents a model-free <inline-formula> <tex-math notation="LaTeX">\lambda </tex-math></inline-formula>-policy iteration (<inline-formula>…”
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16
System identification and control using adaptive particle swarm optimization
Published in Applied mathematical modelling (01-03-2011)“…This paper presents a methodology for finding optimal system parameters and optimal control parameters using a novel adaptive particle swarm optimization…”
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17
Minimum-Variance and Low-Complexity Data-Driven Probabilistic Safe Control Design
Published in IEEE control systems letters (2023)“…This letter presents a direct minimum-variance (MV) data-driven safe control design approach for uncertain linear discrete-time stochastic systems. The…”
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18
Resilient synchronization of distributed multi-agent systems under attacks
Published in Automatica (Oxford) (01-05-2020)“…In this paper, we first address adverse effects of attacks on distributed synchronization of multi-agent systems, by providing conditions under which an…”
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19
Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
Published in Automatica (Oxford) (01-07-2014)“…In this paper, a new formulation for the optimal tracking control problem (OTCP) of continuous-time nonlinear systems is presented. This formulation extends…”
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20
Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
Published in IEEE transactions on automatic control (01-11-2014)“…In this technical note, an online learning algorithm is developed to solve the linear quadratic tracking (LQT) problem for partially-unknown continuous-time…”
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