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As a practical design method, we present a multiple model adaptive control(MMAC) for linear interval systems with real coefficient.
The key idea of the remote-brained approach is that of interfacing intelligent software systems with real robot bodies through wireless technology.
The systems with frequency dependent parameters are transformed into equivalent systems with real constant parameters which give rise to identical frequency response matrices.
Explicitly, we study the observer design problem for a general class of discrete-time nonlinear systems with real parametric uncertainty and with an input generator (exosystem).
This paper is a geometric study of the local observer design for a general class of discrete-time nonlinear systems with real parametric uncertainty.
In this paper, we present a characterization and construction procedure of local exponential observers for discrete-time nonlinear systems with real parametric uncertainty under some stability assumptions.
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A major emphasis was on building high confidence systems with real-time and concurrent behaviors.
A major emphasis will be on building high confidence systems with real-time and concurrent behaviors.
A major emphasis is on building high confidence systems with real-time and concurrent behaviors.
This paper discusses linear fractional representations (LFR) of parameter-dependent nonlinear systems with real-rational nonlinearities and point-delayed dynamics.
Small-scale cultivation systems with real-time-monitoring of suspension parameters are important for high-throughput bioprocess development.
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