Results 131 to 140 of about 311,052 (319)
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley +1 more source
Calculus in O-algebras with positive squares
Let $A$ be an $\mathcal{O}$-algebra with positive squares and $F\left( X_{1},...,X_{n}\right) \in\linebreak\mathbb{R}^{+}\left[ X_{1},...,X_{n}\right] $ be a homogeneous polynomial of degree $p$ $\left( p\in\mathbb{N}^{\ast },\text{ }p\neq2\right) $. It is shown that for all $0\leq a_{1},...,a_{n}\in A$ there exists $0\leq a$ $\in A$ such that $F\left(
openaire +2 more sources
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero +2 more
wiley +1 more source
ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto +2 more
wiley +1 more source
On the range of nth order derivations acting on commutative Banach positive squares ℓ-algebras [PDF]
Naoual Kouki, Mohamed Ali Toumi
openalex +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Linear Algebra is Your Friend: Least Squares Solutions to Overdetermined Linear Systems [PDF]
Robert E. Babcock, Mark Arnold
openalex +1 more source
Squares and associative representations of two dimensional evolution algebras
María Inez Cardoso Gonçalves +4 more
openalex +2 more sources
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source

