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pro vyhledávání: '"93c55"'
This paper considers the design of sparse actuator schedules for linear time-invariant systems. An actuator schedule selects, for each time instant, which control inputs act on the system in that instant. We address the optimal scheduling of control
Externí odkaz:
http://arxiv.org/abs/2407.12125
This paper analyzes the stability of optimal policies in the long-run stochastic control framework with an averaged risk-sensitive criterion for discrete-time MDPs on finite state-action space. In particular, we study the robustness of optimal contro
Externí odkaz:
http://arxiv.org/abs/2406.15952
Autor:
Alvarez, Hector Vargas, Fabiani, Gianluca, Kevrekidis, Ioannis G., Kazantzis, Nikolaos, Siettos, Constantinos
Publikováno v:
Chaos, Solitons & Fractals,186, 115215, 2024
We use Physics-Informed Neural Networks (PINNs) to solve the discrete-time nonlinear observer state estimation problem. Integrated within a single-step exact observer linearization framework, the proposed PINN approach aims at learning a nonlinear st
Externí odkaz:
http://arxiv.org/abs/2402.12360
In this paper we investigate how the subgradients of the value function of a discrete-time convex Bolza problem evolve over time. In particular, we develop a discrete-time version of the characteristic method introduced by Rockafellar and Wolenski in
Externí odkaz:
http://arxiv.org/abs/2402.00289
Mean field limits are an important tool in the context of large-scale dynamical systems, in particular, when studying multiagent and interacting particle systems. While the continuous-time theory is well-developed, few works have considered mean fiel
Externí odkaz:
http://arxiv.org/abs/2312.06422
This study proposes a one-shot data-driven tuning method for a fractional-order proportional-integral-derivative (FOPID) controller. The proposed method tunes the FOPID controller in the model-reference control formulation. A loss function is defined
Externí odkaz:
http://arxiv.org/abs/2311.05869
Autor:
Schulze, Philipp
We discuss structure-preserving time discretization for nonlinear port-Hamiltonian systems with state-dependent mass matrix. Such systems occur, for instance, in the context of structure-preserving nonlinear model order reduction for port-Hamiltonian
Externí odkaz:
http://arxiv.org/abs/2311.00403
With the advent of 5G era, factories are transitioning towards wireless networks to break free from the limitations of wired networks. In 5G-enabled factories, unmanned automatic devices such as automated guided vehicles and robotic arms complete pro
Externí odkaz:
http://arxiv.org/abs/2310.15560
Our paper introduces a novel method for calculating the inverse $\mathcal{Z}$-transform of rational functions. Unlike some existing approaches that rely on partial fraction expansion and involve dividing by $z$, our method allows for the direct compu
Externí odkaz:
http://arxiv.org/abs/2310.09808
Autor:
Pitera, Marcin, Stettner, Łukasz
In this paper we study the problem of Multiplicative Poisson Equation (MPE) bounded solution existence in the generic discrete-time setting. Assuming mixing and boundedness of the risk-reward function, we investigate what conditions should be imposed
Externí odkaz:
http://arxiv.org/abs/2309.02829