Examples of 'nonlinear systems' in a sentence
Meaning of "nonlinear systems"
nonlinear systems - Nonlinear systems are mathematical or physical systems in which the output is not directly proportional to the input. They exhibit complex behavior and are often characterized by non-linear equations. Nonlinear systems are commonly studied in fields such as physics, engineering, economics, and biology
How to use "nonlinear systems" in a sentence
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nonlinear systems
Linearize nonlinear systems around an operating point.
Such behavior is exhibited in some nonlinear systems.
Nonlinear systems are also present in many optical tools.
The design of optimal experiments on nonlinear systems.
The behavior of nonlinear systems can not be repeated.
A set of observers for a class of nonlinear systems.
On the importance of nonlinear systems in science and engineering.
Intermodulation can only occur in nonlinear systems.
Adaptive control of nonlinear systems using neural networks.
Methods of absolute stability analysis for nonlinear systems.
Stable control of nonlinear systems using neural networks.
Limit cycles can only exist in nonlinear systems.
Nonlinear systems with real chaos were rarely taught and rarely learned.
Analysis and control of nonlinear systems.
A class of nonlinear systems that can be linearized through feedback is studied in this work.
See also
Robust sliding mode control of uncertain nonlinear systems.
He applies rigorous analysis to nonlinear systems and is a leader in this field.
Feedback linearization is a common approach used in controlling nonlinear systems.
Properties of nonlinear systems.
Fractals comprise another phenomenon that arises in nonlinear systems.
It is not useful for nonlinear systems which exhibit broad band spectra.
Multidisciplinary approach of nonlinear systems.
This synergistic character of nonlinear systems is precisely what makes them so difficult to analyze.
Linear systems are easier to understand compared to nonlinear systems.
Key applications are complex nonlinear systems for which linear control theory methods are not applicable.
They have also been developed for solving nonlinear systems of equations.
Nonlinear systems in the control-affine form.
The statistical analysis of time series for deterministic nonlinear systems.
Traditional system identification methods for nonlinear systems are often computationally expensive.
The linear systems approach oversimplifies the dynamics of nonlinear systems.
H - infinity control of nonlinear systems blew my mind.
The modal synthesis approach is further extended to study nonlinear systems.
Nonlinear systems are synergistic, not additive.
Most natural systems are nonlinear and are modelled by nonlinear systems of equations.
Another characteristic of nonlinear systems is that they are self-organizing.
We give a sufficent condition for stability of discrete time nonlinear systems.
Introduction to the analysis and design of nonlinear systems and nonlinear control systems.
The volterra series are introduced and used as tool on identification of nonlinear systems.
We appreciate that the analysis and design of nonlinear systems requires a visual language.
This allows us to give a sufficent condition for stabilization of periodic discrete time nonlinear systems.
Important properties are presented for SISO nonlinear systems of relative degree one or two.
These analytical equations are also useful in prediction of chaos in nonlinear systems.
Unfortunately, the resolution of nonlinear systems is very expensive.
Generally, nonlinear systems are difficult to solve and are much less understandable than linear systems.
The systems in which stochastic resonance occur are always nonlinear systems.
Nonlinear systems are considered, without inputs and which fulfill the so-called rank condition.
Researchers have already successfully controlled single variable nonlinear systems in the lab and.
For nonlinear systems such as a power amplifier, the history of the signal influences the output.
BOLD helps SMEs plan and control output in nonlinear systems.
Abstract, Nonlinear systems are so diverse that generalized tools for control are difficult to develop.
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