Search For

Introduction to discrete-time reinforcement learning control in Complex Engineering Systems

Layered random fault injection method for the air braking system based on multiple Markov chains

Active manipulation of a tethered drone using explainable AI

Command filter-based adaptive neural tracking control of nonlinear systems with multiple actuator constraints and disturbances

Continual online learning-based optimal tracking control of nonlinear strict-feedback systems: application to unmanned aerial vehicles

Fuzzy inference system-assisted human-aware navigation framework based on enhanced potential field

Integrated control of anti-lock and regenerative braking for in-wheel-motor-driven electric vehicles

Adaptive neural control for delayed discrete-time switched systems under deception attacks

Non-fragile state estimation for reaction-diffusion genetic regulatory networks with mode-dependent timevarying delays

Learning based multi-obstacle avoidance of unmanned aerial vehicles with a novel reward

Multi-step policy evaluation for adaptive-critic-based tracking control towards nonlinear systems

Reinforcement learning-based optimal adaptive fuzzy control for nonlinear multi-agent systems with prescribed performance