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The RRD is derived using the Internal Model Principle and the optimisation theory.
This design does not base on the internal model principle and so have not any approximation.
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.
The proposed designs were based on the internal model principle and H∞ robust control theories, both have two degree of freedom control structure.
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.
Nonlinear observability leads to an effective combination of the internal model principle and the certainty equivalence principle for a more general class of systems.
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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.
Physically Based Modeling: Principles and Practice.
Required Textbook: Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman.
Koller, D. & Friedman, N. Probabilistic Graphical Models: Principles and Techniques (MIT Press, 2009).
Daphne Koller and Nir Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press.
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