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A nonstandard finite difference method for solving autonomous dynamical systems is constructed.
This class of systems is constructed by a switching control law changing the equilibrium point of an unstable dissipative system.
A stable adaptive neural-network-based control scheme for dynamical systems is presented and a continuous recurrent neural network model of dynamical systems is constructed in this paper.
Then, an event-based filter design model for T S fuzzy systems is constructed by taking the effect of event-triggered scheme and the sensor faults into consideration.
Considering the design problem of non-fragile decentralized H∞ controller with gain variations, the dynamic feedback controller by measurement feedback for uncertain linear systems is constructed and studied.
This class of systems is constructed with a switching control law by changing the equilibrium point of an unstable dissipative system.
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Conventionally, systems are constructed at the design time according to an initial structure and requirements.
Different forms of hyperchaotic complex Chen systems are constructed.
The magnetron power supply for these systems was constructed.
However, solar cooling systems were constructed just for demonstration purposes.
From 1927 to 1931 more than 10 major transmission systems were constructed in the United States.
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