Optimal trajectory tracking for uncertain linear discrete‐time systems ...

In the recent literature, Q $$ Q $$ -learning scheme is introduced for uncertain linear systems both for regulation and tracking. ... For tracking ...

"Optimal Trajectory Tracking for Uncertain Linear Discrete‐time ...

This article introduces a novel optimal trajectory tracking control scheme designed for uncertain linear discrete-time (DT) systems. In contrast to traditional ...

Instead, our approach can dynamically incorporate segments (finite horizons) of reference trajectories and autonomously learn an optimal control ...

Optimal trajectory tracking for uncertain linear discrete‐time systems ...

Request PDF | Optimal trajectory tracking for uncertain linear discrete‐time systems using time‐varying Q ‐learning | This article introduces a novel ...

Optimal Tracking Control of Linear Discrete-Time Systems Under ...

In this paper, the optimal tracking control problem is solved based on the reinforcement learning for linear systems subject to multiple false-data-injection ( ...

Optimal tracking control for linear discrete-time systems using ...

It is first assumed that the value function for the LQT is quadratic in terms of the reference trajectory and the state of the system. Then, using the quadratic ...

Reinforcement Q-learning and Optimal Tracking Control of Unknown ...

This paper studies the fully cooperative game tracking control problem (FCGTCP) for a class of discrete-time multi-player linear systems with unknown dynamics.

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.

Optimal and minimum-energy optimal tracking of discrete linear time ...

Based on the theory of generalized inverses and Bellman's dynamic programming approach, two forms of solutions to the optimal and minimum-energy optimal ...

Approximately Optimal Trajectory Tracking for Continuous ... - arXiv

... time linear systems ... Wei, “Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic.

Optimal control of uncertain quantized linear discrete‐time systems

... system trajectory. The proposed design scheme yields a forward-in-time and online scheme, which enjoys great practical merits. Lyapunov ...

Finite‐horizon near optimal adaptive control of uncertain linear ...

22 Citations · Optimal trajectory tracking for uncertain linear discrete‐time systems using time‐varying Q‐learning · LQ control of unknown ...

Stochastic linear quadratic optimal tracking control for discrete-time ...

Secondly, the SLQ optimal tracking problem is transformed into a deterministic one by system transformation and the corresponding Q function of ...

Approximate Optimal Trajectory Tracking for Continuous-Time ...

Similar to discrete time adaptive dynamic programming (ADP), continu- ous time ADP approaches aim at finding approximate solutions to the HJB ...

Linear quadratic tracking control of unknown discrete-time systems ...

This study addresses the novel output feedback-based reinforcement Q-learning algorithms for optimal linear quadratic tracking problem of unknown ...

Robust Trajectory Tracking Control for Continuous-Time Nonlinear ...

In this paper, a robust trajectory tracking control method with state constraints and uncertain disturbances on the ground of adaptive dynamic programming (ADP ...

Error-based adaptive optimal tracking control of nonlinear discrete ...

In this paper, for the output tracking problem of nonlinear discrete-time systems, a performance index is newly defined using the adaptive dynamic programming ...

Model-free finite-horizon optimal tracking control of discrete-time ...

The developed algorithm in this paper solves the time-varying Riccati equations offline and backward-in-time without the system dynamics or any ...

Neuro-Optimal Trajectory Tracking with Value Iteration of Discrete ...

In this article, a novel neuro-optimal tracking control approach is developed toward discrete-time nonlinear systems. By constructing a new augmented plant, the ...

Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear ...

This article addresses a multilayer neural network (MNN)-based optimal adaptive tracking of partially uncertain nonlinear discrete-time (DT) systems in affine ...