Robust Dynamic Programming zwsky Ph.D in Management Sciences Contribution: In paper (Hanasusanto & Kuhn 2013), author consider the data-driven dynamic programming which extends the classical dynamic programming
We aim to find the optimal control against the worst-case copulae in a sequence of shrinking uncertainty sets which are generated from continuously observing the data. Then, we use a stochastic gradient descent ascent algorithm to numerically handle the corresponding high dimensional dynamic inf-sup...
Then, the idea of neural dynamic programming is adopted to perform the main controller design task by building and training a critic network. Finally, the effectiveness of the present adaptive robust control strategy is illustrated via a simulation example....
Zhong-Ping JIANG is a Professor ofElectrical and Computer Engineering at New York University, a recipient of theDistinguished Overseas Chinese Scholar Award from the NSF of China. Prof. Jiangis a Fellow of the IEEE and a Fellow of the IFAC.0...
Data-Driven Cooperative Output Regulation of Multi-Agent Systems via Robust Adaptive Dynamic Programming 来自 科研支点 喜欢 0 阅读量: 255 作者:W Gao,Y Jiang,M Davari 摘要: This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. ...
Data-driven-based sliding-mode dynamic event-triggered control of unknown nonlinear systems via reinforcement learning 2024, Neurocomputing Citation Excerpt : Although these control strategies can achieve satisfactory performances, the actor network generated approximation errors in the process of implementation...
1.2.2. Data-Driven FD Different data-driven methods have been proposed for the FD problem. In [36], the fuzzy inference system in conjunction with thresholder was proposed for the FD of DC motors. In [37], 4 different Wiener models were ensembled for the fault analysis of an industrial ...
Motivated by a ride service platform, this paper investigates a short-term vehicle rebalancing problem under demand uncertainty in the presence of contextual data. We deploy a novel data-driven robust optimization approach that takes a direct path from “Data” to “Decision” instead of the ...
The second container will run a Redis instance for storing page view data persistently in a local volume on the host machine. Docker is all that’s required to run this application, and you’ll set it up now. Remove ads Set Up Docker on Your Computer Docker is an umbrella term that ...
Chance-constrained programming, data-driven uncertainty, risk hedging, and artificial intelligence are some of the popular approaches, adopted to enhance the computational efficiency of the RO methods (Inapakurthi, Pantula, Miriyala and Mitra, 2020; Sharma, Pantula, Miriyala, & Mitra, 2021). In ...