Titlebook: Distributed Fuzzy Control of Multivariable Systems; Alexander Gegov Book 1996 Springer Science+Business Media Dordrecht 1996 algorithms.an

北京人起源

Antarctic

是剝皮

Great Britain and Northern IrelandThe control law (2.2) can be represented by (8.1) and is shown schematically on Figure 8.1. The detailed presentation of (8.1) is given by (8.2). The development of (8.2) for a given element of the universal set u., i=1,m, t=1,f leads to (8.3).

entitle

凌辱

索賠

Decentralized Fuzzy Control of Multivariable Systems by Passive Decomposition,For the purpose of decentralized control, two general types of decomposed subsystems are considered: Siso and Nsiso. In the case of Siso subsystems, the original system is supposed to possess N inputs and outputs. In the case of Nsiso subsystems, the original system possesses a number of inputs or / and outputs, bigger than N.

Limerick

Decentralized Fuzzy Control of Multivariable Systems by Active Decomposition,For the purpose of decentralized control, two general types of decomposed subsystems are considered: Siso and Nsiso. In the case of Siso subsystems, the original system is supposed to possess N inputs and outputs. In the case of Nsiso subsystems, the original system possesses a number of inputs or / and outputs, bigger than N.

虛弱

壓艙物

Multilayer Fuzzy Control of Multivariable Systems by Direct Decomposition,The control law (2.2) can be represented by (8.1) and is shown schematically on Figure 8.1. The detailed presentation of (8.1) is given by (8.2). The development of (8.2) for a given element of the universal set u., i=1,m, t=1,f leads to (8.3).

neutralize

Distributed Fuzzy Fault Diagnosis in Multivariable Control Systems,Modern control systems are characterized by a growing demand for fault tolerance which can be achieved not only by improving the individual reliability of the functional units but also by efficient fault diagnosis. Therefore, the problem of fault diagnosis is closely related to the problem of control.