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This paper will focus on designing insensitive output feedback controllers for linear continuous-time systems with mixed-H∞ norm sensitivity minimization.
It is this critical norm sensitivity that the present confidence data establish.
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Robustness of proposed algorithms can be studied through the infinity norm and sensitivity function.
The disturbance model is fixed in the controller, based on the internal model principle, and the other controller parameters are computed by convex optimization to meet the constraints on the infinity-norm of sensitivity functions.
The robustness is studied through the infinity (H∞) norm and the sensitivity function.
For an interval system, we prove that the maximal H∞ norm of its sensitivity function is achieved at twelve (out of sixteen) Kharitonov vertices.
In the context of this study system, the reaction norm is the sensitivity to environmental stimuli or a narrower range of adaptive response in the native population.
According to Yao et al. [ 25], the most identifiable parameter is the one with the highest Euclidian norm of the sensitivity vector, that is, max j ‖ b θ j ‖.
These are the infinity-norm of the sensitivity and complementary sensitivity functions and the crossover frequency.
Results on numerical experiments show that the proposed method considerably reduces both feedback norms and the sensitivity of the closed-loop eigenvalues.
The process synthesis and design are carried out simultaneously with the MPC tuning to obtain the most economical plant which satisfies the controllability indices that measure the control performance (H∞ and 11 norms of different sensitivity functions of the system).
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