Skip to main content

84 Result(s)

within Qinglai Wei Remove this filter English Remove this filter

previous disabled Page of 5
and

  1. No Access

    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 ...

    Huaguang Zhang, Qinglai Wei, Derong Liu in Advances in Neural Networks – ISNN 2007 (2007)

  2. No Access

    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...

    Qinglai Wei, Derong Liu, Huaguang Zhang in Advances in Neural Networks - ISNN 2008 (2008)

  3. No Access

    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...

    Qinglai Wei, Ding Wang, Derong Liu in Advances in Neural Networks – ISNN 2011 (2011)

  4. No Access

    Article

    Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming

    In this paper, we aim to solve the finite horizon optimal control problem for a class of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming (ADP) approach. A new ɛ-optim...

    Qinglai Wei, Derong Liu in Journal of Control Theory and Applications (2011)

  5. No Access

    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...

    Yuzhu Huang, Derong Liu, Qinglai Wei in Neural Information Processing (2012)

  6. No Access

    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...

    Dehua Zhang, Derong Liu, Qinglai Wei in Neural Information Processing (2012)

  7. No Access

    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 ...

    Yuzhu Huang, Derong Liu, Qinglai Wei in Advances in Neural Networks – ISNN 2012 (2012)

  8. No Access

    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...

    Qinglai Wei, Derong Liu in Advances in Neural Networks – ISNN 2012 (2012)

  9. No Access

    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...

    Francesco De Angelis, Matteo Boaro… in Advances in Neural Networks – ISNN 2012 (2012)

  10. No Access

    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...

    Danilo Fuselli, Francesco De Angelis… in Advances in Neural Networks – ISNN 2012 (2012)

  11. No Access

    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...

    Ruizhuo Song, Wendong **ao, Qinglai Wei in Advances in Brain Inspired Cognitive Systems (2013)

  12. No Access

    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 ...

    Qinglai Wei, Derong Liu in Advances in Neural Networks – ISNN 2013 (2013)

  13. No Access

    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...

    Ruizhuo Song, Wendong **ao, Qinglai Wei in Intelligence Science and Big Data Engineering (2013)

  14. No Access

    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 ...

    Derong Liu, Yuzhu Huang, Qinglai Wei in Advances in Neural Networks – ISNN 2013 (2013)

  15. Article

    The neural paradigm for complex systems: new algorithms and applications

    Stefano Squartini, **hu Lu, Qinglai Wei in Neural Computing and Applications (2013)

    Download PDF (93 KB) View Article

  16. No Access

    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 ...

    Matteo Boaro, Danilo Fuselli, Francesco De Angelis, Derong Liu… in Cognitive Computation (2013)

  17. No Access

    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...

    Ruizhuo Song, Wendong **ao, Qinglai Wei in Soft Computing (2013)

  18. No Access

    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....

    Qinglai Wei, Ding Wang, Dehua Zhang in Neural Computing and Applications (2013)

  19. No Access

    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...

    **ong Yang, Derong Liu, Qinglai Wei in Advances in Neural Networks – ISNN 2014 (2014)

  20. No Access

    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...

    Qinglai Wei, Derong Liu, **ong Yang in Neural Information Processing (2014)

previous disabled Page of 5