In this paper, a new systematic method of integrated state space partition and optimal control of multi-model for nonlinear systems based on hybrid systems is initially proposed, which can deal with the state space partition and associated optimal control simultaneously and guarantee an overall performance of nonlinear systems consequently.
The well-known Cohen-Grossberg neural networks (CGNN), which is a large class of artificial neural networks including the Hopfield neural network, the cellular neural network, the shunting neural networks, and some ecological systems, were initially proposed and studied by Cohen and Grossberg [1] in 1983.
Weirdness [42] was initially proposed for document retrieval system.
The model of sysers was initially proposed as macromolecular self-reproducing systems.
The model, which the researchers initially proposed in the journal Dynamic Systems Measurements and Control (ASME), also takes into account the robot's mass and volume.
In this paper, the Hierarchical and Distributed Cognitive Radio Architecture Management HDCRAMM), initially proposed to manage Cognitive Radio systems, is proposed for the management of the SG.
A Takagi Sugeno (T S) fuzzy coupled ODE PDE model is initially proposed to accurately represent the nonlinear coupled ODE PDE system.
At present, the most widely used classification is the RIFLE an acronym for Risk, Injury, Failure, Loss, and End-stage renal disease system, which was initially proposed by the Acute Dialysis Quality Initiative group [7] and has been validated in critically ill adult patients [8].
At present, the most widely used classification is the RIFLE an acronym for Risk, Injury, Failure, Loss, and End-stage renal disease system, which was initially proposed by the Acute Dialysis Quality Initiative group [ 7] and has been validated in critically ill adult patients [ 8].
Hybrid enumeration was initially proposed in [55] for soft-input sphere decoder in complex system model.
