IEEE

Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming

Abstract: In this article, we study the optimal control problem of continuous-time (CT) time-invariant nonlinear systems with stochastic nonlinear disturbances. A new stochastic adaptive dynamic ...
IEEE

Distributed Differential Dynamic Programming Architectures for Large-Scale Multiagent Control

Abstract: This article proposes two decentralized multiagent optimal control methods that combine the computational efficiency and scalability of differential dynamic programming (DDP) and the ...
IEEE

Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy

Abstract: The policy gradient adaptive dynamic programming (PGADP) technique has gained recognition as an effective approach for optimizing the performance of nonlinear systems. Nonetheless, existing ...
IEEE

First Order Accelerated Robust Dual Dynamic Programming for Robust Economic Dispatch

Abstract: Robust economic dispatch (ED) is of paramount importance for obtaining robust unit commitment when considering the uncertainty in the system, which is a typical multistage robust ...
IEEE

Data-Driven Adaptive Dynamic Programming for Optimal Control of Continuous-Time Multicontroller Systems With Unknown Dynamics

Abstract: This paper investigates the optimal control of continuous-time multi-controller systems with completely unknown dynamics using data-driven adaptive dynamic programming (DD-ADP). In this ...
IEEE

Optimal Tracking Control for Autonomous Vehicle With Prescribed Performance via Adaptive Dynamic Programming

Abstract: The path tracking control problem for autonomous vehicle with uncertain dynamics requires simultaneous consideration of control optimality and safety-based performance constraints. In this ...
IEEE

Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic

Abstract: Genetic programming hyperheuristic (GPHH) has recently become a promising methodology for large-scale dynamic path planning (LDPP) since it can produce reusable heuristics rather than ...
IEEE

Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances

Abstract: In this paper, a novel online adaptive dynamic programming control algorithm is developed to solve optimal control problems for Vertical Take Off and Landing (VTOL) aircraft systems.
IEEE

Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay

Abstract: This article presents a novel efficient experience-replay-based adaptive dynamic programming (ADP) for the optimal control problem of a class of nonlinear dynamical systems within the ...
IEEE

Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks

Abstract: Efficient truck dispatching is crucial for optimizing container terminal operations within dynamic and complex scenarios. Despite good progress being made recently with more advanced ...
IEEE

Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling

Abstract: Dynamic flexible job shop scheduling (JSS) is a prominent combinatorial optimization problem with many real-world applications. Genetic programming (GP) has been widely used to automatically ...
IEEE

Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles

Abstract: Dynamic flexible job shop scheduling is an important but difficult combinatorial optimization problem that has numerous real-world applications. Genetic programming (GP) has been widely used ...