[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhao et al., 2015 - Google Patents

Finite‐horizon near optimal adaptive control of uncertain linear discrete‐time systems

Zhao et al., 2015

Document ID
17625880051040699884
Author
Zhao Q
Xu H
Sarangapani J
Publication year
Publication venue
Optimal Control Applications and Methods

External Links

Snippet

In this paper, the finite‐horizon near optimal adaptive regulation of linear discrete‐time systems with unknown system dynamics is presented in a forward‐in‐time manner by using adaptive dynamic programming and Q‐learning. An adaptive estimator (AE) is introduced to …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Zhao et al. Finite‐horizon near optimal adaptive control of uncertain linear discrete‐time systems
Na et al. Improving transient performance of adaptive control via a modified reference model and novel adaptation
Zargarzadeh et al. Adaptive neural network‐based optimal control of nonlinear continuous‐time systems in strict‐feedback form
Tutsoy Design and comparison base analysis of adaptive estimator for completely unknown linear systems in the presence of OE noise and constant input time delay
Pérez‐Cruz et al. Identification and control of class of non‐linear systems with non‐symmetric deadzone using recurrent neural networks
Bekiaris‐Liberis et al. Adaptive stabilization of LTI systems with distributed input delay
Oliveira et al. Binary robust adaptive control with monitoring functions for systems under unknown high‐frequency‐gain sign, parametric uncertainties and unmodeled dynamics
Pérez-Cruz et al. Tracking control based on recurrent neural networks for nonlinear systems with multiple inputs and unknown deadzone
Xia et al. Adaptive output feedback dynamic surface control of stochastic nonlinear systems with state and input unmodeled dynamics
Zhang et al. Exact tracking control of uncertain non‐linear systems with additive disturbance
Lin et al. Online identifier–actor–critic algorithm for optimal control of nonlinear systems
Sun et al. Decentralised zero-sum differential game for a class of large-scale interconnected systems via adaptive dynamic programming
Zhao et al. Optimal control of uncertain quantized linear discrete‐time systems
Aghababa et al. Robust adaptive dynamic surface back-stepping tracking control of high-order strict-feedback nonlinear systems via disturbance observer approach
Zhang et al. BIBO stability and stabilization of networked control systems with short time‐varying delays
Jin et al. Secure H∞ control against time-delay attacks in cyber-physical systems
Zhao et al. Optimal trajectory tracking control for a class of nonlinear nonaffine systems via generalized N‐step value gradient learning
Wang et al. Sliding mode control with adaptive fuzzy compensation for uncertain nonlinear system
Liu et al. Adaptive fixed-time PID-based control of uncertain nonlinear systems and its application to unmanned surface vehicles
Ruiz‐Duarte et al. Sliding mode output‐feedback causal output tracking for a class of discrete‐time nonlinear systems
Cong et al. Improved Adaptive Sliding Mode Control for a Class of Second‐Order Mechanical Systems
Min et al. Observer‐based tracking control for constrained nonlinear systems with mismatching disturbances and its application
Sun et al. Adaptive dynamic surface-based differential games for a class of pure-feedback nonlinear systems with output constraints
Sun et al. Fuzzy adaptive control for fractional nonlinear systems with external disturbances and unknown control directions
Wan et al. Adaptive Decentralized Output Feedback Tracking Control for Large‐Scale Interconnected Systems with Time‐Varying Output Constraints