Sentence examples for controller rules from inspiring English sources

The proposed method offers a simple and effective way to obtain the PID controller rules for parallel cascade control system which takes into account the interaction between primary and secondary control loops.

The controller rules are selected to satisfy stability and optimality conditions for the new fuzzy time-optimal controller.

Although the controller rules are reduced, TSRFC is able to provide performance as good as former designs.

A Genetic Algorithm (GA) is employed to find optimum fuzzy controller rules, as well as adjusting the membership functions to minimize the overall damage index.

For the fuzzy model involving large plant rules, the proposed idea greatly reduces the total number of LMIs and controller rules so that TSRFC is easy to implement with simple hardware.

Fig. 3 Membership functions for Ret_adj (a) and SINR50 (b) fuzzy inputs Table 1 Fuzzy logic controller rules No Ret_adj i,j) SINR50(i) ΔHOM i,j) 1 L – Positive 2 H L Negative 3 H H Null. The proposed method has been tested using a dynamic LTE system level simulator implemented in MATLAB based on the one presented in [33].

The classical negative velocity feedback controller rule is implemented to suppress the vibration response of the panel.

The fuzzy controller rule base was then constructed based on PD performance-related knowledge.

The drug controller rule-base has also been validated via pre-tuning on 10 off-line patients and testing on 17 on-line patients.

Table 1 Fuzzy rule base for fuzzy controller Rule St Ac Ec Ad 1 RT Not Enough Low Outsource 2 RT Not Enough Medium Reject 3 RT Not Enough High Reject 4 RT Enough Low Accept 5 RT Enough Medium Accept 6 RT Enough High Accept 7 NRT Not Enough Low Outsource 8 NRT Not Enough Medium Outsource 9 NRT Not Enough High Outsource 10 NRT Enough Low Accept 11 NRT Enough Medium Accept 12 NRT Enough High Accept.

Obtaining a number of experiment data by driving a vehicle, classify the data according to the concept of data and fix the input and output variables of the cloud controller, design the control rules of the cloud controller of intelligent vehicle, and clouded and fix the parameter of cloud controller: expectation, entropy and hyper entropy.