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We present novel techniques for realising reliable low overhead logic functions and more complex systems based on the switching characteristics of memristors.
We propose a switching controller based on the switching linear model and achieve very good performance in controlling HCCI combustion phasing throughout the entire operating region.
Based on the switching logic with the minimum average dwell time (ADT), the delay-dependent L1 performance criterion for the switched LPV systems is first established.
Logi-thermal simulators (extending the concept of the transistor level electro-thermal simulation of integrated circuits to higher abstraction levels) can predict the dissipated power based on the switching activities of the system, consider the local temperature dependence of certain circuit properties and calculate the temperature distribution across the chip consistently.
The PowerPlay Analyzer is used to evaluate the power consumption based on the switching annotation generated from the gate level simulations.
An important method for optimizing the use of thermal cells is to rank them based on the switching index, I, which determines how close the cell is to being fully charged or depleted.
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Based on the switched model, some analytical stability results are derived.
It was designed based on the switched split vector quantization (SSVQ) technique and called "ISF-SSVQ coder".
Based on the switched system approach and some stochastic system analysis methods, a sufficient condition is obtained such that the filtering error system is exponentially stable in the mean-square sense, and a prescribed H∞ performance level is guaranteed.
In this study, Two heuristic methods are used based on the switch indices and a graph-based approach for finding the best solution to restore the maximum total consumers in de-energized areas considering the minimum switch operations.
This function was implemented by setting a flag based on the switch status.
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