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Large-scale linear time-invariant dynamical systems with inputs and outputs present major challenges for controller design.
This paper deals with the design of switching rules for switched linear systems with inputs, in such a way that the resulting closed-loop system is exponentially convergent.
One technique is used for systems with inputs, whereas the other one is specifically geared towards systems that are not excited from the outside.
When HON occurs in systems with inputs of terrestrial organic carbon, there is the potential that this aquatically formed organic N becomes associated with organic C of terrestrial origin.
Whereas stable linear systems with inputs have a unique steady-state solution, which is independent on the initial conditions and only depends on the input signals, nonlinear systems in general do not possess this property.
Third, the AIs approach can be applied to any pathway (e.g. signaling systems) with inputs and outputs so that cell viability is one of many possible read-outs.
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The model is applied to iron and zinc systems with input data taken from the literature.
A large number of control methods deal with stabilizing single-input linear systems with input saturation.
This paper studies the exponential stability problem for switched systems with input saturation and parametric uncertainties.
This paper addresses the control of linear systems with input saturations.
We provide a new backstepping result for time-varying systems with input delays.
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