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It is something regularly seen in Olympics-based games like the recent Mario & Sonic at the Olympics, another game for the Wii that used the Wii's motion-sensitive controller in a way that was more exhausting than fun.
Formulating the design of the accompanying controller in a way to guarantee the additional performance objective, the overall design is rendered tractable over a set of free variables, in terms of which the synthesis of a suitable controller is also outlined.
The problem is formulated for a parameter-dependent plant as the synthesis of a parameter-dependent controller in a way to ensure internal stability as well as a desired level of steady-state disturbance attenuation in the face of all admissible parameter variations.
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It is further shown how these results can be exploited to design distributed controllers in a way similar to the gain-scheduling controller design in Linear Parameter Varying (LPV) systems.
Switching laws are derived to orchestrate the transition between the two controllers in a way that reconciles their respective stability and optimally properties, and guarantees asymptotic closed-loop stability for all initial conditions within the stability region of the bounded controller.
This will also benefit the controller in such a way that it is more tolerant to sensor failure.
It is a data-based technique that uses the measured plant response to tune the parameters of a fixed-structure controller in a graphical way.
In this paper, proposed method afford to construct a controller in a recursive way and it enforces incremental exponential stability of an underwater vehicle and not just global asymptotic stability.
This will allow the refinement of tools and policies that can be applied consistently and respectfully, by private or public data controllers alike, in a way that is transparent to the public.
An overall multi-scale controller is then synthesized by combining all the sub-controllers in such a way to achieve good cooperation among the different plant modes as to achieve good nominal performance and performance robustness.
An example of solution is to design the different controllers in such a way that they all have the same initial state.
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CEO of Professional Science Editing for Scientists @ prosciediting.com