Nonlinear control systems represent a critical area of study wherein the relationship between inputs and outputs is not directly proportional, resulting in complex and often unpredictable dynamics. In ...
Abstract: This paper presents a robust adaptive neural network event-triggered controller (NN ETC) for nonlinear continuous stirred tank reactors (CSTRs) with prescribed performance. The proposed ...
Abstract: Robust Model Predictive Control (MPC) for nonlinear systems is a problem that poses significant challenges, as highlighted by the diversity of approaches proposed in the last decades. Often ...
High-breakdown-point regression estimators protect against large errors and data contamination. We generalize the concept of trimming used by many of these robust estimators, such as the least trimmed ...
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A robust and adaptive controller for ballbots
The ballbot is a unique kind of robot with great mobility and possesses the ability to go in all directions. Obviously, ...
In a recent article published in the journal Light: Science & Applications, researchers explored a fundamental but often overlooked area of optical science: how spatial coherence can be controlled and ...
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