- Adaptive Linear Quadratic Regulator for Continuous|Time Systems ...🔍
- Adaptive optimal output regulation of linear discrete|time systems ...🔍
- Neural Network|Based Optimal Tracking Control of Continuous ...🔍
- Observer|based trajectory tracking control with preview action for a ...🔍
- Error|based adaptive optimal tracking control of nonlinear discrete ...🔍
- Numerically Efficient Robustness Analysis of Trajectory Tracking for ...🔍
- Model|free tracking control of complex dynamical trajectories ...🔍
- Min|max control of constrained uncertain discrete|time linear systems🔍
Optimal trajectory tracking for uncertain linear discrete‐time systems ...
Adaptive Linear Quadratic Regulator for Continuous-Time Systems ...
Gradient-based update laws are developed for online estimation of the optimal gain. Uniform exponential stability of the closed-loop system is established using ...
Adaptive optimal output regulation of linear discrete-time systems ...
It can be used to approximate the optimal control solutions for uncertain systems whose uncertain system model is missing. Therefore, it is a good candidate to ...
Neural Network-Based Optimal Tracking Control of Continuous ...
Neural Network-Based Optimal Tracking Control of Continuous-Time Uncertain Nonlinear System via Reinforcement Learning ; Journal: Neural Processing Letters, 2020 ...
Observer-based trajectory tracking control with preview action for a ...
In this article, the observer-based preview tracking control problem is investigated for a class of discrete-time Lipschitz nonlinear systems.
Error-based adaptive optimal tracking control of nonlinear discrete ...
Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems. ... trajectory tracking of uncertain dynamics ...
Numerically Efficient Robustness Analysis of Trajectory Tracking for ...
... Linear Time-Varying Approximations of Uncertain Systems. 25 May 2021. Guaranteed systematic simulation of discrete‐time systems ... Near Time-Optimal Trajectory ...
Model-free tracking control of complex dynamical trajectories ... - NCBI
Nonlinear tracking control enabling a dynamical system to track a desired trajectory is fundamental to robotics, serving a wide range of civil and defense ...
Min-max control of constrained uncertain discrete-time linear systems
We show that the finite-horizon robust optimal control law is a continuous piecewise affine function of the state vector and can be calculated by solving a.
Linear-quadratic optimal control for discrete-time stochastic ...
Employing dynamic programming method, a recurrence equation to simplify the optimal control problem is presented provided that the descriptor systems are both ...
Optimal Selection of Basis Functions for Robust Tracking Control of ...
This paper is written in the context of feedforward tracking control of discrete-time linear systems and is motivated by: (i) applications where ...
Neural Network Control of Uncertain Nonlinear Discrete-Time ...
... Optimal trajectory tracking for uncertain linear discrete‐time systems using time‐varying Q‐learning. Geiger M., Narayanan V., Jagannathan S. Q1. Wiley.
An Introduction to the Optimal Trajectory Tracking Problem with ...
Then, the second part will introduce two logically completely different feedback control designs, the classic linear- quadratic regulator ...
The Adaptive Optimal Output Feedback Tracking Control of ... - MDPI
This paper investigates the output feedback (OPFB) tracking control problem for discrete-time linear (DTL) systems with unknown dynamics.
Robust H∞ observer-based model predictive controller for uncertain ...
This article investigates an observer-based robust model predictive control (RMPC) design to control the uncertain discrete-time linear ...
Finite horizon optimal tracking control of partially unknown linear ...
To solve the augmented problem with partially unknown system dynamics, they develop a time-varying Riccati equation. A critic neural network is used to ...
Dynamical Systems and AI Research Group
Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan, "Optimal trajectory tracking for uncertain linear discrete-time systems using time-varying Q ...
Sample-Data Control of Optimal Tracking for a Class of Non-linear ...
... linear Systems via Discrete-Time State Dependent Riccati Equation ... Kamalapurkar, R., et al.: Approximate optimal trajectory tracking for continuous-time ...
Lifelong Learning-Based Optimal Trajectory Tracking Control of ...
nonlinear system is not well understood. Furthermore, single- layer optimal hybrid learning for discrete-time systems with partially known ...
Optimal Tracking Control for a Class of Nonlinear Discrete-Time ...
First, the HJB equation for discrete time delay system is derived which is based on state error and control error. In order to solve this HJB ...
Neural Network-Based Optimal Tracking Control of Continuous ...
In this note, optimal tracking control for uncertain continuous-time nonlinear system is investigated by using a novel reinforcement learning (RL) scheme.