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A robust FWL controller performance measure is first developed, which takes into account the standard robust control requirements as well as the FWL implementation considerations, and the corresponding controller design problem is naturally reformulated as a mixed μ problem which can be treated effectively with the results of the mixed μ theory.
The controlled Markov chains (CMC) approach to software testing treats software testing as a control problem, where the software under test serves as a controlled object that is modeled as controlled Markov chain, and the software testing strategy serves as the corresponding controller.
Employing adaptive method, the corresponding controller which renders the closed-loop system asymptotically stable is constructed.
The lower this co-variance is, the bigger is the influence of the corresponding controller on the fused output.
For each candidate plant design, the corresponding controller optimization is performed in real time, using extremum seeking.
The task TAs are modified for making the association to a corresponding controller resulting in the TA shown in Fig. 10 for our running example.
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The nonlinear system is expressed by using the Takagi Sugeno (T S) method, and some identification adaptive T S models along with their corresponding controllers, are used in order to control efficiently the unknown system.
In simulations, three finite-time switching manifolds are presented and the corresponding controllers are validated to perform the finite-time control for the double integral system.
Based on the homogeneity analysis, a design proposal is provided for general finite-time switching manifolds and corresponding controllers, which guarantee that all states of a controlled system are finite-time convergent to the origin.
The homogeneity properties of the corresponding controllers yield a number of practically important features.
Firstly, the dynamical network with time-varying coupling delay is considered and the corresponding controllers are designed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com