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Nonlinear control strategies for 3-DOF control moment gyroscope using deep reinforcement learning
Reinforcement learning is a compelling area of research within machine learning because it enables the improvement of control strategies for future...
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Adaptive estimation and control for uncertain nonlinear systems and full actuation control
We study adaptive control for a family of nonlinear systems, involving unknown and uncertain parameters. The proposed control law estimates the...
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Improving speed control characteristics of PMDC motor drives using nonlinear PI control
This paper introduces a nonlinear PI controller for improved speed regulation in permanent magnet direct current (PMDC) motor drive systems. The...
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Observer-based adaptive backstep** control for Mimo nonlinear systems with unknown hysteresis: a nonlinear gain feedback approach
In this article, an adaptive neural network (NN) control problem is studied for nonstrict-feedback multi-input multi-output (MIMO) nonlinear systems...
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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without any swarm mission, because it models the behavior priority...
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Command filter-based adaptive fuzzy fixed-time tracking control for strict-feedback nonlinear systems with nonaffine nonlinear faults
This article investigates adaptive fuzzy fixed-time fault-tolerant control for strict-feedback nonlinear systems with unknown nonaffine nonlinear...
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Neural network optimal control for discrete-time nonlinear systems with known internal dynamics
A neural network (NN) optimal control for discrete-time nonlinear dynamic systems with known internal dynamics is designed. The control is described...
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Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control
This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying...
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An efficient optimization algorithm for nonlinear 2D fractional optimal control problems
In this research article, we present an optimization algorithm aimed at finding the optimal solution for nonlinear 2-dimensional fractional optimal...
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Optimal formation control for second-order nonlinear MASs with collision avoidance and connectivity assurance
In this paper, the optimal formation control issue with collision avoidance and connectivity assurance is investigated for a class of second-order...
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Adaptive prescribed performance control for state constrained stochastic nonlinear systems with unknown control direction: a novel network-based approach
In this paper, the tracking control problem of the state constrained stochastic nonlinear systems with unknown control direction is studied, and 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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Prescribed-time stabilization and inverse optimal control of stochastic high-order nonlinear systems
This paper investigates the prescribed-time state-feedback stabilization and prescribed-time inverse optimality problems for stochastic high-order...
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Finite-time adaptive fuzzy control of nonlinear systems with actuator faults and input saturation
This paper addresses the finite-time control problem of a class of uncertain nonlinear systems subject to input saturation and actuator faults. To...
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Error-based adaptive optimal tracking control of nonlinear discrete-time systems
In this paper, for the output tracking problem of nonlinear discrete-time systems, a performance index is newly defined using the adaptive dynamic...
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Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances
This paper focuses on the adaptive control issue for a class of uncertain nonlinear systems subject to full state constraints and external...
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Multiple Model Adaptive Control of Nonlinear Systems Based on Dynamic Optimization
AbstractIn multiple model control, the model set is very important to the control performance. A novel multiple model control algorithm based on...
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Predefined-time fuzzy adaptive output feedback control for non-strict feedback stochastic nonlinear systems with state constraints
The predefined-time fuzzy adaptive output feedback control problem is considered for non-strict feedback stochastic nonlinear systems with state...
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Neural Network Based Adaptive Inverse Optimal Control for Non-Affine Nonlinear Systems
In this paper, a novel methodology is introduced for the inverse optimal control of non-affine, nonlinear and discrete-time systems. Although inverse...
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Finite-time composite learning control for nonlinear teleoperation systems under networked time-varying delays
The robust finite-time synchronization control problem is investigated for master-slave networked nonlinear telerobotics systems (NNTSs) in this...