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As a result, an integrated output space partition and optimal control method is proposed.
In this context, model composition is assumed to take one or more models as its input and integrated output model.
The two-stage design is composed of a low-noise common-gate stage and a gain-boosting cascode block with an integrated output buffer for measurement.
The integrated output space partition and optimal control method can improve the nonlinear system overall control performance and results of numerical simulation are provided.
The most widely characterized of these illustrate the importance of the spatial and temporal relationships of the paired stimuli as well as their relative effectiveness in eliciting a response in determining the final integrated output.
This paper proposes the design of the integrated output feedback and iterative learning control (ILC) for batch processes with uncertain perturbations and interval time-varying delays, where the main idea is to transform the design into a robust delay-range-dependent H∞ control of a 2D system described by a state-space model with varying delays.
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