Pages that link to "Item:Q255110"

The following pages link to A nature inspired parameter tuning approach to cascade control for hydraulically driven parallel robot platform (Q255110):

Displaying 15 items.

• Optimal control of hydraulically driven parallel robot platform based on firefly algorithm (Q330799) (← links)
• Generalized fractional ambiguity function and its applications (Q831563) (← links)
• Robust motion control design for dual-axis motion platform using evolutionary algorithm (Q1039996) (← links)
• Design of a steering control law for an autonomous underwater vehicle using nonlinear \(\mathscr {H}_{\infty }\) state feedback technique (Q1637237) (← links)
• Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution (Q1652338) (← links)
• Task-oriented parameter tuning based on priority condition for biologically inspired robot application (Q1665849) (← links)
• Robust self-triggered MPC with fast convergence for constrained linear systems (Q1717514) (← links)
• Negotiating team formation using deep reinforcement learning (Q2046007) (← links)
• Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times (Q2243380) (← links)
• Synergetic structure-control design via a hybrid gradient-evolutionary algorithm (Q2357935) (← links)
• Delay-dependent and independent state estimation for BAM cellular neural networks with multi-proportional delays (Q2697834) (← links)
• Meta-heuristic algorithms for the control tuning of omnidirectional mobile robots (Q5059311) (← links)
• Parameter identification of variable displacement of an remote operated vehicle hydraulic thruster based on an improved genetic algorithm (Q5368154) (← links)
• Tensor decomposition-based alternate sub-population evolution for large-scale many-objective optimization (Q6092023) (← links)
• Differential privacy may have a potential optimization effect on some swarm intelligence algorithms besides privacy-preserving (Q6151930) (← links)