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The one-box model can be used as default model, as it matches the model principles and the level of detail of exposure models for the environment.
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This design does not base on the internal model principle and so have not any approximation.
The RRD is derived using the Internal Model Principle and the optimisation theory.
Nonlinear observability leads to an effective combination of the internal model principle and the certainty equivalence principle for a more general class of systems.
The second aspect is the design of a noise canceller using the Internal Model Principle and the sensitivity function shaping in order to reduce the "water-bed" effect.
However, prior knowledge of plant dynamics and/or reference signal properties is required for both the internal model principle and the feed-forward controller based designs.
The proposed designs were based on the internal model principle and H∞ robust control theories, both have two degree of freedom control structure.
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.
In this paper we regard dynamics of Newton's method as a nonlinear feedback system and derive convergence conditions, based on the internal model principle and systems of Lur'e type.
Since this signal has unknown and time-varying characteristics, the proposed estimation method implements an adaptive control scheme based on the internal model principle and on the use of Youla Kučera (YK) parameterization technique (also known as Q-parameterization).
In this paper, we design two distributed output consensus controllers for heterogeneous linear systems based on internal model principle and then study the quantization effect on the controllers when uniform quantizers are used in the communication channels.
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