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 WebAug 25, 2024 · In this article, a new data-based adaptive dynamic programming algorithm is proposed to solve the optimal control policy for discrete-time systems with uncertainties. Firstly, for uncertain systems, the corresponding Hamiltonian function is designed, and then the robust adaptive dynamic programming algorithm is obtained.
Data-based optimal control
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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-based LQG control algorithm is suggested in [4]. This al-gorithm derives the control input by adequate processing of several measurements and it consists of two parts ... 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 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 …
WebApr 10, 2024 · An infinite-horizon function is minimized online, which allows the data-based control policy to be considered the optimal control method. The gains of the constrained data-based control signal are computed at each time step to enhance accuracy. Applying the data-based state feedback controller to the system yields positive and stable state ... WebThe 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 …
WebApr 13, 2024 · To obtain the equivalent data model, fuzzy rules emulated networks are utilized to derive a class of discrete-time systems based on the daily hospitalized individuals’ data. The aim of this study is to investigate the optimal control problem to determine the most effective interventional policy including precautionary and awareness measures ... WebMar 22, 2024 · Our approach based on modeling, inferring model parameters from real data, and computing optimal control solutions for the inferred model is general and may …
WebA deterministic multiple-phase optimal control problem was built to form the basis of the robust optimal control problem, considering 4D aircraft dynamics. We formalized a robust optimal control problem by aggregating the state and control variables and the aircraft dynamics for each of the weather scenarios to create an aggregated EoM.
WebOct 1, 2024 · The main contribution of this paper is to develop the distributed identifier-critic-based optimal adaptive control method, which is emphasized with the following three properties: (1) the implementation of the distributed controller just depends on the available system data, and thus the proposed approach is model-free; (2) the controller design … target auburn maine hiringWebMar 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. 顔 タイプじゃないけど好きWebMay 1, 2014 · In this paper, we consider the partially unknown spatially distributed processes (SDPs) which are described by general highly dissipative nonlinear partial differential equations (PDEs) and develop... 顔タイプキュート pdフェミニン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 … target au handbagsWebMar 3, 2024 · This is a simple, suboptimal data-based control sequence that correctly steers the network to yf in T steps, as long as yf belongs to the range space of YT (a condition that is normally... target auburn alabamaWebOct 20, 2016 · Data-based control method via integral policy iteration: the implementation procedure In this section, we investigate a data-based approach to solve the optimal … target audiens adalahWebJul 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... target audience dalam bahasa melayu