This project presents the design and simulation of a quadcopter flight control system based on Model Predictive Control (MPC). The objective is to achieve stable, smooth, and constraint-aware ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Abstract: Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalence MPC ...
Abstract: In this article, a model predictive control (MPC) method is proposed for constrained linear systems to track bounded references generated by linear exosystems with arbitrary Lyapunov stable ...
Advances in methods that allow targeted remote control of neuronal activity open new possibilities for investigating and manipulating the function of neuronal circuits in vivo. The group of Michael ...
MATLAB implementation of closed-loop feedback analysis for ENG3018 Practical 2, covering open-loop and closed-loop transfer functions, sensitivity analysis, time-domain responses, and phase-delay ...
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