Real-time neural network based semiactive model predictive control of structural vibrations

•Proposes a computationally efficient semiactive model predictive control algorithm.•Uses neural networks to predict online the integer variables at optimality.•Adapts fast model algorithm to solve the resulting quadratic programming optimization.•Proposes novel sampling approaches and codewords for tractably small neural networks.•Demonstrates performance comparable to conventional approach but 10 times faster.