Research Article
HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN)
Algorithm 1
Details of HCDRNN-NMPC scheme.
| | Step 1. Determine and , such that . | | | Step 2. Get , , and in each control step, such that: | | (i) | is the desired values for next steps. | | (ii) | is the last optimal sequence of the predicted control signal. | | (iii) | is the delayed input-output vector of nonlinear system. | | | Step 3. Predict the outputs of the system for next steps by the proposed HCDRNN. | | | Step 4. Calculate by equation (17). | | | Step 5. Compute and by equations (15) and (16), respectively. | | | Step 6. Apply as the first element of vector to the nonlinear system, and go back to Step 2 for the next sample time. |
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