Intellectual evolution method for synthesis of mobile robot control systemThe paper proposes a new method for
synthesis of optimal
control systems. The network operator
Synthesized Optimal Control by Group Interaction of Quadcopters, the synthesized optimal
control method is used. According to this method, firstly the
synthesis problem of
control Binary variational genetic programming for the problem of synthesis of control system variations. The efficiency of the new method is proven on the given example of
control system synthesis THE NUMERICAL ROBUST CONTROL SYNTHESIS ALGORITHM USING HYBRID PARALLELIZATION APPROACHESTHE NUMERICAL ROBUST
CONTROL SYNTHESIS ALGORITHM USING HYBRID PARALLELIZATION APPROACHES
Grammatical Evolution for Neural Network Optimization in the Control System Synthesis Problem synthesis problem. Feed-forward neural network was used as an approximation of the
control function