Decentralized Control: An Overview

This paper investigates the synchronization problem for the non-dissipatively coupled timevarying complex dynamical networks via decentralized state feedback controllers. In our network model, the outer coupling configuration matrices are not restricted by dissipatively coupled condition, time invariance, symmetry, irreducibility or certainty. Besides, different time-varying coupling delays are put into consideration. Moreover, the similarities possessed by the nodes in our network model are revealed based on the nodes' dynamics and are applied to synthesize the controllers. Furthermore, it is the common bound, not the exact information, of the outer coupling coefficients that is used to design the synchronization controllers. It is worth pointing out that the uncertain outer coupling coefficients' common bound is admissible in our synchronization schemes, and for this case, adaptive control mechanism is introduced to design the synchronization controllers. Several proper simulation examples are given to verify the effectiveness and feasibility of our theoretical results.

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“…(27)- (29), (33) and (35). Correspondingly, according to Definition 1, the parameters α i (x i ) and α 1 (ϕ i (x i )) should be changed to…”

Section: Examplementioning

confidence: 99%

“…This fundamental feature is also possessed by symmetric and similar composite systems [33][34][35]. This does not mean that all the nodes in the network are identical or possessing the same state dimension.…”

Section: Introductionmentioning

confidence: 99%

Synchronization for non-dissipatively coupled time-varying complex dynamical networks with delayed coupling nodes

2015

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“…For the control of large and complex systems, research on decentralized control schemes remains the point of attention in control theory (Bakule, 2008). Due to the robustness offered by modular or decentralized methodology, it is more popular than centralized control scheme for the complex process (Riadi et al, 2007;Ahmad et al, 2012).…”

Section: Decentralized Fuzzy Logic Controller (Dflc)mentioning

confidence: 99%

Design and tuning of a Decentralized Fuzzy Logic Controller for a MIMO type Pressurized Heavy Water Reactor

Wallam

Abbas

Abbasi

2015

Annals of Nuclear Energy

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“…Instead of handling one big problem using the centralized method, large control problems are divided into many small problems of a manageable size (Bakule 2008). The entire building is broken down into many small subspaces, with each space only weakly associated with its neighbors, allowing it to be managed independently.…”

Section: Introductionmentioning

confidence: 99%

An advanced fire estimation model for decentralized building control

Yang

Zhang

2015

Build. Simul.

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This paper describes the development of an inverse model to identify the fire location and intensity level based on sensor data and physical-model output for use with a decentralized control system. The model was proven to be accurate and effective. The inverse procedure can be divided into two steps. In the first step, the fire estimation is conducted in pair-wise adjacent zones based on Bayesian inference. A local relative probability ratio is calculated. In the second step, the global inference is derived from the cooperation of all zones. For demonstration purposes, the model was applied to a decentralized control system with limited information of the building structure and sensor readings. Based on the building layout, the fire location and intensity level can be determined effectively. The results from the decentralized control are compared with those obtained for conventional centralized control with full information of the building structure and sensor readings. The decentralized fire estimation model proved to be accurate for practical applications. The results were also found to be insensitive to the traversal path selection in the topology of zones. Keywordsbuilding control, inverse model, fire modeling, Bayesian inferenceArticle History

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Decentralized Control: An Overview

Cited by 204 publications

References 50 publications

Synchronization for non-dissipatively coupled time-varying complex dynamical networks with delayed coupling nodes

Synchronization for non-dissipatively coupled time-varying complex dynamical networks with delayed coupling nodes

Design and tuning of a Decentralized Fuzzy Logic Controller for a MIMO type Pressurized Heavy Water Reactor

An advanced fire estimation model for decentralized building control

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