Data-based optimal control
WebJun 1, 2024 · This paper presents a model-free reinforcement learning (RL) algorithm to solve the risk-averse optimal control (RAOC) problem for discrete-time nonlinear systems and presents data-driven implementations of these algorithms based on Q-function which enables learning the optimal value without any knowledge of the system dynamics. 4 PDF WebApr 11, 2024 · An ultra-light heuristic method for generating optimal Eco-Driving traces for Connected Autonomous Vehicles (CAVs) which indirectly minimizes the 1-norm of acceleration is presented. Connected autonomy brings with it the means of significantly increasing vehicle Energy Economy (EE) through optimal Eco-Driving control. Much …
Data-based optimal control
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WebApr 13, 2024 · Optimal control theory describes control strategies to steer a system towards an optimal outcome specified in a cost function [48, 49]. In an optimal control … WebTo minimize the total energy consumption of a cooling tower-assisted heat pump (CTAHP) system in cooling mode, a model-based control strategy with hybrid optimization algorithm for the system is presented in this paper. An existing experimental device, which mainly contains a closed wet cooling tower with counter flow construction, a condenser water …
WebApr 13, 2024 · In recent years, the data-driven based FDD (Fault Detection and Diagnosis) of high-speed train electric traction systems has made rapid progress, as the safe … WebMar 9, 2024 · Data-based methods require the system data instead of the accurate knowledge of system dynamics that can be considered as model-free learning control methods. The data-based methods are effective solutions for the optimal control of nonlinear systems, which motivate this special issue.
WebAug 29, 2014 · My current project portfolio is focused on differentiable programming for scientific machine learning, constrained optimization, … WebThis paper investigates data-based optimal control, that is applicable on-line both to regulation and tracking control problems over an arbitrary time interval. A Markov data …
WebJul 15, 2024 · We propose a data-based optimal synchronization control strategy based on a hierarchical and distributed optimal control framework composed of a model reference adaptive control (MRAC) layer and a distributed control layer.
WebJun 10, 2005 · Abstract: This paper deals with data-based optimal control. The control algorithm consists of two complementary subsystems, namely a data-based observer and an optimal feedback controller based on the system's Markov parameters. These … how many keycaps are on a 100 keyboardWebApr 13, 2024 · In recent years, the data-driven based FDD (Fault Detection and Diagnosis) of high-speed train electric traction systems has made rapid progress, as the safe operation of traction system is closely related to the reliability and stability of high-speed trains. The internal complexity and external complexity of the environment mean that fault diagnosis … how many keyboard switchesWebIn this paper, a nearly data-based optimal control scheme is proposed for linear discrete model-free systems with delays. The nearly optimal control can be obtained using only measured input/output data from systems, by reinforcement learning technology, which combines Q-learning with value iterative algorithm.First, we construct a state estimator … howard meyerson fifWebThe control law solves the optimal consensus problem for multiagent systems with measured I/O information, and does not rely on the model of multiagent systems. A numerical example is provided to illustrate the effectiveness of the proposed algorithm. howard meyersonWebJan 10, 2024 · A data-based method is proposed to design the initial stabilizing feedback gain that the algorithm requires. Robustness of the algorithm in the presence of noisy measurements is analyzed. We compare the proposed algorithm in simulation to different direct and indirect data-based control design methods. howard meyer actingWebJun 20, 2013 · Data-driven controls are the control theories and methods in which the controller is designed directly using on-line or off-line I/O data of the controlled system or knowledge from the data processing without using explicit or implicit information of the mathematical model of the controlled process, and whose stability, convergence, and … howard meyer architectWebApr 11, 2024 · Encrypted Price-based Market Mechanism for Optimal Load Frequency Control. The global trend of energy deregulation has led to the market mechanism replacing some functionality of load frequency control (LFC). Accordingly, information exchange among participating generators and the market operator plays a crucial role in optimizing … howard metzger canton ohio