Results 301 to 310 of about 24,564,249 (381)

Adaptive Neural Network Robust Control of FOG with Output Constraints. [PDF]

open access: yesBiomimetics (Basel)
Liu S, Lian B, Ma J, Ding X, Li H.
europepmc   +1 more source

Hierarchical iterative identification algorithms for a nonlinear system with dead‐zone and saturation nonlinearity based on the auxiliary model

International Journal of Adaptive Control and Signal Processing, 2023
This paper investigates the identification problem of an output‐error nonlinear system with saturation and dead‐zone nonlinearity. Introducing a switching function and by means of the auxiliary model identification idea, an auxiliary model hierarchical ...
Shunyuan Sun, Xiao Wang, Feng Ding
semanticscholar   +1 more source

Nonlinear systems

Student Solution Manual for Differential Equations: Techniques, Theory, and Applications, 2020
A nonlinear control system can be generally expressed as follows: ˙ x = f (x, u) y = h(x, u) where x ∈ M ⊂ R n is the state variable, u ∈ R m the input, and y ∈ R p the output. In this course we focus on the so-called affine control systems: ˙ x = f (x) +
Hassan K. Khalil
semanticscholar   +1 more source

Nonlinear controllers for nonlinear systems with input nonlinearities [PDF]

open access: possibleProceedings of the 36th IEEE Conference on Decision and Control, 1999
Abstract In this paper we develop an optimality-based nonlinear control framework for nonlinear systems with time-invariant sector-bounded memoryless input nonlinearities. Specifically, using an optimal nonlinear control framework we develop a family of globally stabilizing controllers parameterized by the cost functional that is minimized ...
J.L. Fausz   +2 more
openaire   +2 more sources

Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity

International Journal of Robust and Nonlinear Control, 2020
This article focuses on the parameter estimation problem of the input nonlinear system where an input variable‐gain nonlinear block is followed by a linear controlled autoregressive subsystem.
Yamin Fan, Ximei Liu
semanticscholar   +1 more source

Nonlinear dimensionality reduction by locally linear embedding.

Science, 2000
Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensionality reduction: how to discover compact representations of high-dimensional ...
S. Roweis, L. Saul
semanticscholar   +1 more source

On the Identification of Nonlinear Systems

IFAC Proceedings Volumes, 1982
Abstract For the identification of systems in which the nonlinear element is in the feedback path, a new technique based on the Volterra characterisation of nonlinear system, is presented. The method is shown to have distinct computational advantages. Simulation studies using the proposed method are given.
N.C. Jagan, D.C. Reddy
openaire   +2 more sources

Filtering by nonlinear systems

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008
Synchronization of nonlinear systems forced by external signals is formalized as the response of a nonlinear filter. Sufficient conditions for a nonlinear system to behave as a filter are given. Some examples of generalized chaos synchronization are shown to actually be special cases of nonlinear filtering.
J. Urías   +2 more
openaire   +3 more sources

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