Similarly, by utilizing the redundancy of system dynamics, a Kalman filtering-based heuristic approach is evaluated in this section.
In addition, we illustrate how much gain can be obtained by using the redundancy of system dynamics to assist channel decoding.
One promising way to improve the performance of physical dynamics (or system state) estimation is the BP-based joint channel decoding and system state estimation algorithm, which we have already developed in [1] to utilize time-domain redundancy of system state to assist channel decoding.
The greater number and redundancy of ABC systems in B. pseudomallei, including those systems associated with iron acquisition, may be indicative of ability of this organism to persist and replicate in a greater variety of environments when compared to B. mallei.
This phenomena relates to the redundancy of biological systems which are to ensure that the system retains functioning inspite of the perturbations.
The SVD-based reduction gives a way for the elimination of the redundancy of these systems, and furthermore makes possible to construct several rule-bases or neural networks for the same problem with different complexity and accuracy, so wider use of soft computing methods becomes possible.
A related problem is the redundancy of compensatory systems in the brain.
A metabolic network has in general a very high number of EFM reflecting the typical functional redundancy of biological systems.
In recent years, a broad class of stochastic meta-heuristics, such as simulated annealing, genetic algorithm, tabu search, ant colony, and particle swarm optimization paradigms, has been developed for reliability-redundancy optimization of systems.
It is shown that a universal modular limb connectivity type exists that can be adopted for modular design of statically redundant parallel robots, regardless of the degree of static redundancy of the system.
