Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results.
|Number of pages||11|
|Journal||IEEE Transactions on Systems, Man, and Cybernetics: Systems|
|Early online date||22 Dec 2015|
|Publication status||Published - Mar 2017|
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- adaptive control
- adaptive estimation
- Bayes methods
- bomplex networks
- decentralized control
- feedforward systems
- recursive estimation