Results 11 to 20 of about 157,302 (264)

Optimizing nonlinear adaptive control allocation [PDF]

open access: yesModeling, Identification and Control, 2006
A control-Lyapunov approach is used to develop an adaptive optimizing control allocation algorithm for over-actuated mechanical systems where the actuator model is affine in the uncertain parameters. Uniform global (asymptotic) stability is guaranteed by
Johannes Tjønnås, Tor A. Johansen
doaj   +1 more source

Bipartite consensus for networked Euler–Lagrange systems with cooperative–competitive interactions and time delays

open access: yesIET Control Theory & Applications, 2023
This paper investigates the coordinated behaviour of the multiple Euler–Lagrange systems under diverse interactions with time delays. Specially, in the case of undirected interconnection, the proportional plus damping control strategy is proposed and the
Jianing Zhang, Fujie Wang, Guilin Wen
doaj   +1 more source

Sliding control of MIMO nonlinear systems [PDF]

open access: yesModeling, Identification and Control, 1991
Sliding control of MIMO (multivariable input multivariable output) nonlinear minimum phase systems is discussed. Stability conditions related to model errors are emphasized.
Thor I. Fossen, Bjarne A. Foss
doaj   +1 more source

Analysis, Synchronization, and Robotic Application of a Modified Hyperjerk Chaotic System

open access: yesComplexity, 2020
In this work, a novel hyperjerk system, with hyperbolic sine function as the only nonlinear term, is proposed, as a modification of a hyperjerk system proposed by Leutcho et al.
Lazaros Moysis   +5 more
doaj   +1 more source

СONTROL FOR QUADROCOPTER WITH COMPENSATION OF WIND DISTURBANCE [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2015
Subject of Research. The paper presents an output control approach for a class of nonlinear MIMO (Multiple Input Multiple Output) systems. Quadrocopter is chosen to illustrate proposed adaptive control approach based on the high-gain principle, the so ...
I. V. Petranevsky   +3 more
doaj   +1 more source

Controlled invariance for nonlinear systems [PDF]

open access: yesIEEE Transactions on Automatic Control, 1982
Necessary and sufficient conditions are derived for "(A, B)-invariance," called here controlled invariance, for nonlinear systems x˙ = f(x, u). The obtained results generalize and elucidate already known results about systems x˙ = A(x)-Σmi=1 uiBi(x). A new and direct differential geometric interpretation of the concept of controlled invariance and the ...
Nijmeijer, Henk, Schaft, Arjan van der
openaire   +2 more sources

An Algorithm to Automatically Detect the Smale Horseshoes

open access: yesDiscrete Dynamics in Nature and Society, 2012
Smale horseshoes, curvilinear rectangles and their U-shaped images patterned on Smale's famous example, provide a rigorous way to study chaos in dynamical systems.
Qingdu Li, Lina Zhang, Fangyan Yang
doaj   +1 more source

Finite‐time cluster synchronization of heterogeneous complex dynamical networks with discontinuous interactions

open access: yesIET Control Theory & Applications, 2023
In this paper, finite‐time cluster synchronization (FTCS) in networks of nonidentical coupled dynamical systems is addressed by introducing a discontinuous interaction rule. This interaction rule overcomes the effect of heterogeneous dynamics among nodes.
Yujuan Han, Lin Yan, Bo Liu
doaj   +1 more source

A Unified Approach of Controller Design and System Identification for Optimal Control of Single-Input Nonlinear Systems

open access: yesSICE Journal of Control, Measurement, and System Integration, 2018
This paper presents a novel unified approach of controller design and identification for unknown input affine nonlinear systems. An issue with obtaining the best performance of optimal control is that identification errors degrade control performance ...
Yuji Ito   +3 more
doaj   +1 more source

The Investigation of Nonlinear Polynomial Control Systems

open access: yesМоделирование и анализ информационных систем, 2021
The paper considers methods for estimating stability using Lyapunov functions, which are used for nonlinear polynomial control systems. The apparatus of the Gro¨bner basis method is used to assess the stability of a dynamical system. A description of the
Sergei Nikolaevich Chukanov   +1 more
doaj   +1 more source

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