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Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

What neural activity in motor cortex represents and how it controls ongoing movement remain unclear. Suggestions that cortex generates low-level muscle control are discredited by correlations with ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

🚀 KQ-LMPC is the fastest open-source Koopman MPC controller for quadrotors: zero training data, fully explainable, hardware-proven SE(3) control. ⚡ Real-time convex MPC (<10 ms) • Stability ...