Zobrazeno 1 - 10
of 716
pro vyhledávání: '"Kyriakos, G."'
In this paper, we have proposed a resilient reinforcement learning method for discrete-time linear systems with unknown parameters, under denial-of-service (DoS) attacks. The proposed method is based on policy iteration that learns the optimal contro
Externí odkaz:
http://arxiv.org/abs/2409.07766
Autor:
Niu, Shengyuan, Bouland, Ali, Wang, Haoran, Fotiadis, Filippos, Kurdila, Andrew, L'Afflitto, Andrea, Paruchuri, Sai Tej, Vamvoudakis, Kyriakos G.
In this paper, the evolution equation that defines the online critic for the approximation of the optimal value function is cast in a general class of reproducing kernel Hilbert spaces (RKHSs). Exploiting some core tools of RKHS theory, this formulat
Externí odkaz:
http://arxiv.org/abs/2405.05887
Autor:
Boroujeni, Sayed Pedram Haeri, Razi, Abolfazl, Khoshdel, Sahand, Afghah, Fatemeh, Coen, Janice L., ONeill, Leo, Fule, Peter Z., Watts, Adam, Kokolakis, Nick-Marios T., Vamvoudakis, Kyriakos G.
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artificial Intelligence (AI) in wildfires, propelled by the integration of Un
Externí odkaz:
http://arxiv.org/abs/2401.02456
In this paper we propose a framework towards achieving two intertwined objectives: (i) equipping reinforcement learning with active exploration and deliberate information gathering, such that it regulates state and parameter uncertainties resulting f
Externí odkaz:
http://arxiv.org/abs/2309.10831
This paper proposes a nonlinear stochastic complementary filter design for inertial navigation that takes advantage of a fusion of Ultra-wideband (UWB) and Inertial Measurement Unit (IMU) technology ensuring semi-global uniform ultimate boundedness (
Externí odkaz:
http://arxiv.org/abs/2308.13393
In this paper, a multi-objective model-following control problem is solved using an observer-based adaptive learning scheme. The overall goal is to regulate the model-following error dynamics along with optimizing the dynamic variables of a process i
Externí odkaz:
http://arxiv.org/abs/2308.09872
Autor:
Hashim, Hashim A., Eltoukhy, Abdelrahman E. E., Vamvoudakis, Kyriakos G., Abouheaf, Mohammed I.
Navigation in Global Positioning Systems (GPS)-denied environments requires robust estimators reliant on fusion of inertial sensors able to estimate rigid-body's orientation, position, and linear velocity. Ultra-wideband (UWB) and Inertial Measuremen
Externí odkaz:
http://arxiv.org/abs/2308.08023
In this work, a novel Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formulation allows for flexible energy arbitrage and additional monetary rew
Externí odkaz:
http://arxiv.org/abs/2304.02086
In this paper, we propose a model-free adaptive learning solution for a model-following control problem. This approach employs policy iteration, to find an optimal adaptive control solution. It utilizes a moving finite-horizon of model-following erro
Externí odkaz:
http://arxiv.org/abs/2302.02493