Research Article
U-Model-Based Adaptive Sliding Mode Control Using a Deep Deterministic Policy Gradient
Algorithm 2
Particle swarm optimization for a minimization problem.
| (1) | Initialization. | | (2) | for each one of the N particles do | | (3) | Initialize the position and velocity | | (4) | Set particles’ best position as current | | (5) | Calculate the fitness of each particle and set the optimum as the | | (6) | end for | | (7) | Update. | | (8) | while stopping Criterion not met do | | (9) | Update particles’ velocity using | | (10) | Update particles’ position using | | (11) | Evaluate the fitness of all particles | | (12) | If , update individual best | | (13) | If , update global best | | (14) | end while | | (15) | Output best results |
|
