Sentence examples for multiple models based from inspiring English sources

Exact(10)

The program evolved from multiple models based on divergent definitions of invention, inventor, rewards, and university industry boundaries.

One solution that is widely used in control engineering practice is to combine multiple models based on collected process data.

The paper proposes a multiple models based control scheme for the solution of the tracking problem for mobile robots.

A new robust adaptive multiple models based fuzzy control scheme for a class of unknown nonlinear systems is proposed in this paper.

In this work, our focus is to develop an adaptive resource management architecture capable of dealing with multiple models based on the models' domains of strengths (DOS).

The results demonstrate that, compared to the conventional HM systems, a 6.7% OFS increment and a 57.1% OFS breakdown decrement can be obtained in the multiple models based adaptive HM systems.

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Similar(50)

Both gain scheduling and multiple model based control approaches are considered to be practical approaches for control of industrial nonlinear processes.

Further, compared to multiple model based adaptive FTC design, the proposed methodology circumvents the issues of stability due to switching between different models and utilizes a minimum number of estimation models for parameter estimation without sacrificing the output performance and thereby reducing the computational burden.

This paper proves that for a typical class of linear systems disturbed by white noises, the multiple model based least-squares (LS) adaptive switching control is stable and convergent, and has the same convergence rate as that established for the standard least-squares-based self-tuning regulators.

Then, a multiple-model based control scheme is developed to compensate for actuator failures, consisting of a kinematic controller, multiple dynamic controllers and a control switching mechanism.

Multiple-model based speech recognition (MMSR) has been shown to be quite successful in noisy speech recognition.

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