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Adaptive learning-based optimal tracking control system design and analysis of a disturbed nonlinear hypersonic vehicle model
We propose an adaptive learning-based optimal control scheme for height-velocity control models considering model uncertainties and external...
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Optimal Incremental-containment Control of Two-order Swarm System Based on Reinforcement Learning
In this paper, the optimal incremental-containment control of two-order swarm system based on reinforcement learning (RL) is proposed to avoid the...
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Deep reinforcement learning-based drift parking control of automated vehicles
Drift parking usually requires precise control of a vehicle by a professional driver, which can reflect the performance of the vehicle under critical...
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4 Learning-based Control
Due to the complexity of the system, it is difficult for us to work out a “complete” analytical model of it. Therefore, in this chapter, we propose...
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Pattern-based learning and control of nonlinear pure-feedback systems with prescribed performance
This article presents a novel pattern-based intelligent control scheme with prescribed performance (PP) for uncertain pure-feedback systems operating...
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Research on internet financial risk control based on deep learning algorithm
With the rapid development of Internet technology, Internet finance has entered thousands of households, bringing a lot of convenience to people’s...
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Exploration-based model learning with self-attention for risk-sensitive robot control
Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for...
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Reinforcement Q-learning and Optimal Tracking Control of Unknown Discrete-time Multi-player Systems Based on Game Theory
This paper studies the fully cooperative game tracking control problem (FCGTCP) for a class of discrete-time multi-player linear systems with unknown...
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Bionic Hand Motion Control Method Based on Imitation of Human Hand Movements and Reinforcement Learning
Bionic hands are promising devices for assisting individuals with hand disabilities in rehabilitation robotics. Controlled primarily by bioelectrical...
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Spatial Adaptive Iterative Learning Control Based High-Speed Train Operation Tracking under External Disturbance
AbstractIn order to solve the trajectory tracking problem of high-speed train automatic operation systems under external random disturbance, the...
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Reinforcement learning-based optimal control of unknown constrained-input nonlinear systems using simulated experience
Reinforcement learning (RL) provides a way to approximately solve optimal control problems. Furthermore, online solutions to such problems require a...
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Reinforcement learning-based robust optimal tracking control for disturbed nonlinear systems
This paper concludes a robust optimal tracking control law for a class of nonlinear systems. A characteristic of this paper is that the designed...
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Efficient learning control of uncertain nonlinear systems with input constraints: a disturbance observer-based neural network approach
To deal with the effects of the input saturation and time-varying input delay, this article presents a serial-parallel identifier-based composite...
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Neural-network-based safe learning control for non-zero-sum differential games of nonlinear systems with asymmetric input constraints
This paper primarily investigates a neural-network-based safe control scheme for solving the optimal control problem of continuous-time (CT)...
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Teaching Learning Based Optimization for Designing Control Strategies in Complex Systems
In this study, teaching learning-based optimization algorithm (TLBO) has been explored in order abatement (OA) and controller design of the linear...
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Relinquishing control? Supervisor co-regulation may disrupt students’ self-regulated learning during simulation-based training
When uncertain, medical trainees often seek to co-regulate their learning with supervisors and peers. Evidence suggests they may enact self-regulated...
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Event-triggered self-learning-based tracking control for nonlinear constrained-input systems with uncertain disturbances
In this paper, an online event-triggered self-learning scheme based on adaptive dynamic programming (ADP) is developed to address tracking control...
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Adaptive and Learning-Based Control of Safety-Critical Systems
This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control, in the control of autonomous...
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Teaching learning optimization-based sliding mode control for frequency regulation in microgrid
This paper presents a novel approach for frequency regulation in Microgrids (MGs) using a Teaching Learning (TL) optimization-based Sliding Mode...
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Optimal synchronized control of nonlinear coupled harmonic oscillators based on actor–critic reinforcement learning
A distributed optimal control algorithm based on adaptive neural network is proposed for the synchronized control problem of a class of second-order...
