Brian Kaul

State-of-the-art in artificial neural network applications: A survey

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

Issues on Stability of ADP Feedback Controllers for Dynamical Systems

Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound

Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review

Adaptive Dynamic Programming for Optimal Tracking Control of Unknown Nonlinear Systems With Application to Coal Gasification

Adaptive Dynamic Programming: An Introduction

Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller

Reinforcement learning and adaptive dynamic programming for feedback control

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines

Data-Driven Intelligent Transportation Systems: A Survey

Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics

Rethinking the carbon dioxide emissions of road sector: Integrating advanced vehicle technologies and construction supply chains mitigation options under decarbonization plans

Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects

Automatic Train Control System Development and Simulation for High-Speed Railways

Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier

Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation

The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks

Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks

Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels

Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines