Event-triggered-based integral reinforcement learning output feedback optimal control for partially unknown constrained-input nonlinear systems

Cites Work

Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
Model-based reinforcement learning for approximate optimal regulation
Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
The dynamic programming approach to multi-model robust optimization
Reinforcement learning solution for HJB equation arising in constrained optimal control problem
Integral reinforcement learning based event-triggered control with input saturation
Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics
Event-triggered Control of Linear Systems with Saturated Inputs
Event‐Triggered Consensus of Nonlinear Multi‐Agent Systems with Unknown External Disturbance
A novel event‐triggered extended state observer for networked control systems subjected to external disturbances
NNs‐Based Event‐Triggered Consensus Control of a Class of Uncertain Nonlinear Multi‐Agent Systems
Distributed Consensus of Multi‐Agent Networks Via Event‐Triggered Pinning Control
Infinite time linear quadratic Stackelberg game problem for unknown stochastic discrete-time systems via adaptive dynamic programming approach
Extended adaptive optimal control of linear systems with unknown dynamics using adaptive dynamic programming
A novel optimal control design for unknown nonlinear systems based on adaptive dynamic programming and nonlinear model predictive control

This page was built for publication: Event-triggered-based integral reinforcement learning output feedback optimal control for partially unknown constrained-input nonlinear systems