Results 81 to 90 of about 117,697,012 (350)
Symmetries, stability, and control in nonlinear systems and networks
, 2011 This paper discusses the interplay of symmetries and stability in the analysis and control of nonlinear dynamical systems and networks. Specifically, it combines standard results on symmetries and equivariance with recent convergence analysis tools based
RUSSO G +5 more
core +1 more source
Predictor control for non‐linear systems actuated via counter‐convecting transport PDEs
IET Control Theory & Applications, 2021 The authors investigate predictor control for the cascaded system of a non‐linear ordinary differential equation with counter‐convecting transport partial differential equations with propagation velocities dependent on partial differential equations ...
Xiushan Cai +3 more
doaj +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Universal Adaptive Control of Nonlinear Systems
This letter develops a new direct adaptive control framework that extends the certainty equivalence principle to general nonlinear systems with unmatched model uncertainties.
Slotine, Jean-Jacques E. +1 more
core +1 more source
Output feedback control of nonlinear systems with uncertain ISS/iISS supply rates and noises [PDF]
, 2014 This paper considers the problem of global output feedback control for a class of nonlinear systems with inverse dynamics. The main contribution of paper is that: For the inverse dynamics with uncertain ISS/iISS supply rates, and the systems ...
Yu, Xin, Liu, Guohai
core +1 more source
Switching control for incremental stabilization of nonlinear systems via contraction theory [PDF]
2016 European Control Conference (ECC), 2016 In this paper we present a switching control strategy to incrementally stabilize a class of nonlinear dynamical systems. Exploiting recent results on contraction analysis of switched Filippov systems derived using regularization, sufficient conditions are presented to prove incremental stability of the closed-loop system.
Di Bernardo M., Fiore D.
openaire +5 more sources
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Necessary optimality conditions for Lagrange problems involving ordinary control systems described by fractional Laplace operators [PDF]
, 2020 In this paper, optimal control problems containing ordinary nonlinear control systems described by fractional Dirichlet and Dirichlet–Neumann Laplace operators and a nonlinear integral performance index are studied. Using smooth-convex maximum principle,
Kamocki, Rafał
core +1 more source
A Biased Approach to Nonlinear Robust Stability with Applications in Adaptive Control
, 2009 The nonlinear robust stability theory of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200--1229, 1997) is generalized to the case of notions of stability with bias terms.
Bian, Wenming, French, Mark
core +2 more sources
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source