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Chapter and Conference Paper
On-Line Learning Control for Discrete Nonlinear Systems Via an Improved ADDHP Method
This paper mainly discusses a generic scheme for on-line adaptive critic design for nonlinear system based on neural dynamic programming (NDP), more exactly, an improved action-depended dual heuristic dynamic ...
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Chapter and Conference Paper
Adaptive Dynamic Programming for a Class of Nonlinear Control Systems with General Separable Performance Index
In this paper, an iterative scheme for a class of dynamic programming problem with general separable performance index has been studied. For the dynamic programming problem, the performance index function is t...
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Chapter and Conference Paper
Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems
In this paper, a new iterative ADP algorithm is proposed to solve the finite horizon optimal tracking control problem for a class of discrete-time nonlinear systems. The idea is that using system transformatio...
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Chapter and Conference Paper
Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H ∞ Control for Constrained Input Nonlinear Systems
In this paper, the nearly H ∞ optimal control solution for discrete-time (DT) constrained input nonlinear systems is considered. First, to deal with the input constraints, a quasi-norm performan...
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Chapter and Conference Paper
Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach
This paper focuses on a class of unknown discrete-time nonlinear systems with dead-zone control constraints based on adaptive dynamic programming (ADP). The discrete-time Hamilton-Jacobi-Bellman (DTHJB) equati...
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Chapter and Conference Paper
Temperature Control in Water-Gas Shift Reaction with Adaptive Dynamic Programming
In this paper, a neural network (NN)-based adaptive dynamic programming (ADP) algorithm is employed to solve the optimal temperature control problem in the water-gas shift (WGS) process. Since the WGS process ...
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Chapter and Conference Paper
Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers
In this paper, an adaptive dynamic programming (ADP)-based self-learning algorithm is developed for solving the two-person zero-sum differential games for continuous-time nonlinear systems with saturating cont...
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Chapter and Conference Paper
Optimal Task and Energy Scheduling in Dynamic Residential Scenarios
Smart homes of the future will include automation systems that will provide lower energy consumption costs and comfortable environments to end users. In this work we propose an algorithm, based on the “Mixed-I...
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Chapter and Conference Paper
Optimal Battery Management with ADHDP in Smart Home Environments
In this paper an optimal controller for battery management in smart home environments is presented in order to save costs and minimize energy waste. The considered scenario includes a load profile that must al...
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Chapter and Conference Paper
Optimal Tracking Control for a Class of Nonlinear Time-Delay Systems with Actuator Saturation
In this paper, a new iterative ADP algorithm is proposed to deal with the optimal tracking control problem for a class of time-delay systems with actuator saturation. By the problem transformation, the optimal...
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Chapter and Conference Paper
Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors
In this paper, we aim to solve an infinite-time optimal tracking control problem for a class of discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) algorithm. When the iterative ...
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Chapter and Conference Paper
Neuro-control to Energy Minimization for a Class of Chaotic Systems Based on ADP Algorithm
This paper discusses the energy minimization problem of a class of chaotic systems, and constructs an optimal neuro-controller based on adaptive dynamic programming (ADP) algorithm. To learn the optimal perfor...
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Chapter and Conference Paper
Neural Network H ∞ Tracking Control of Nonlinear Systems Using GHJI Method
In this paper, an H ∞ optimal tracking control scheme based on generalized Hamilton-Jacobi-Isaacs (GHJI) equation is developed for discrete-time (DT) affine nonlinear systems. First, via system ...
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Article
The neural paradigm for complex systems: new algorithms and applications
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Article
Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management
The employment of intelligent energy management systems likely allows reducing consumptions and thus saving money for consumers. The residential load demand must be met, and some advantages can be obtained if ...
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Article
Multi-objective optimal control for a class of nonlinear time-delay systems via adaptive dynamic programming
A novel multi-objective adaptive dynamic programming (ADP) method is constructed to obtain the optimal controller of a class of nonlinear time-delay systems in this paper. Using the weighted sum technology, th...
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Article
Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays
In this paper, a new dual iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for a class of nonlinear systems with time-delays in state and control variables....
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Chapter and Conference Paper
Reinforcement-Learning-Based Controller Design for Nonaffine Nonlinear Systems
In this paper, we develop an online learning control for a class of unknown nonaffine nonlinear discrete-time systems with unknown bounded disturbances. Under the framework of reinforcement learning, we employ...
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Chapter and Conference Paper
Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks
In this paper, a new generalized policy iteration (GPI) based adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for infinite horizon discrete-time nonlinear systems. T...
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Article
Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems
In this paper, a novel iterative adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems. When the iterative control law...