23 papers · ranked by Valyu relevance
Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Alireza Karimi
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in…
Anuradha M. Annaswamy, Аlexander L. Fradkov
This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and key solutions are presented. Fundamental results related to…
Elisa Capello, Giorgio Guglieri, Fulvia Quagliotti
The objective of this paper is the implementation and validation of an adaptive controller for aircraft gust load alleviation. The contribution of this paper is the design of a robust controller that guarantees the reduction of the gust loads, even when the nominal conditions change. Some preliminary results are…
Matthew F. Collie, Chennan Jin, Victoria Rockwell, Emily Kellogg + 4 more
To pursue a moving visual object, the brain must generate motor commands that continuously steer the object to the center of the visual field via feedback. The gain of this control loop is flexible, yet the biological mechanisms underlying such adaptive control are not well-understood. Here we show that adaptive…
Mychal Amoafo, Ilya Kolmanovsky, Anuradha Annaswamy
This paper proposes a control architecture integrating adaptation with Lyapunov-based Reference Governors (LRGs) to ensure state constraint satisfaction for first-order systems with parametric uncertainties. Adaptation combined with LRGs guarantees stability, ensures good control performance, and remains safe even with…
F. Crevecoeur, J.-L. Thonnard, P. Lefèvre
Humans and animals adapt motor commands to predictable disturbances within tens of trials in laboratory conditions. However in natural conditions, adaptation likely occurs continuously and it remains unknown how the brain handles novel disturbances across time. Because motor commands and sensory feedback together carry…
Harrison Ritz, Matthew R. Nassar, Michael J. Frank, Amitai Shenhav
In order to behave adaptively in environments that are noisy and non-stationary, humans and other animals must monitor feedback from their environment and adjust their predictions and actions accordingly. An under-studied approach for modeling these adaptive processes comes from the engineering field of control theory…
Gang Tao
Uncertainties Authors: ['Gang Tao'] This paper develops adaptive output tracking control schemes with the reference output signal generated from an unknown reference system whose output derivatives are also unknown. To deal with such reference system uncertainties, an expanded adaptive controller structure is developed…
Omer Saleem, Jamshed Iqbal, Muhammad Shahzad Afzal, Rajesh Kumar
This article presents flexible online adaptation strategies for the performance-index weights to constitute a variable structure Linear-Quadratic-Integral (LQI) controller for an under-actuated rotary pendulum system. The proposed control procedure undertakes to improve the controller’s adaptability, allowing it to…
Omer Saleem, Khalid Mahmood-ul-Hasan, Mohsin Rizwan, Ning Sun
This paper presents an experimental comparison of four different hierarchical self-tuning regulatory control procedures in enhancing the robustness of the under-actuated systems against bounded exogenous disturbances. The proposed hierarchical control procedure augments the ubiquitous Linear-Quadratic-Regulator (LQR)…
Yi-Wen Liao, Selina Pan, Francesco Borrelli, J. Karl Hedrick
— This paper proposes a new adaptation methodology to find the control inputs for a class of nonlinear systems with time-varying bounded uncertainties. The proposed method does not require any prior knowledge of the uncertainties including their bounds. The main idea is developed under the structure of adaptive sliding…
Željko Šitum, Danko Ćorić, Donghan Kim, Gurvinder Singh Virk + 2 more
'Soon-Geul Lee' 'Canjun Yang'] The fuzzy logic controller, which uses an analytic activation function for the defuzzification procedure, was applied to the position control of a servo pneumatic drive controlled by a proportional valve. The Gaussian shape of input fuzzy sets, with the possibility of their modification…
Gaurav Sharma, Bernard Marius ’t Hart, Jean-Jacques Orban de Xivry, Denise Y.P. Henriques + 1 more
Visuomotor adaptation studies have revealed a range of behaviors, including nonlinear saturation effects, instruction-dependent differences in performance, and distinct explicit and implicit components of adaptation. However, existing computational models have struggled to account for the full breadth of these…
Maurice Filo, Mustafa Khammash
Proportional-Integral-Derivative (PID) feedback controllers have been the most widely used controllers in the industry for almost a century. This is mainly due to their simplicity and intuitive operation. Recently, motivated by their success in various engineering disciplines, PID controllers found their way into…
Ricardo Aguilar-López, Juan L. Mata-Machuca
This work presents the straightforward design of an integral controller with an anti-windup structure to prevent undesirable behavior when actuator saturation is considered, and the proposed controller improves the performance of the closed-loop dynamics of a class of nonlinear oscillators. The proposed integral…
Authors not listed
This conceptual paper introduces the Adaptive Multi-Resolution Modeling Framework (AMRMF), a novel technique designed to revolutionize chemical engineering by integrating multi-scale simulations, quantum-inspired algorithms, advanced uncertainty quantification, and Bayesian inference. The framework bridges theoretical…
Josiel Alves Gouvêa, Luciano Santos Constantin Raptopoulos, Milena Faria Pinto, Elkin Yesid Veslin Díaz + 5 more
'Milena Faria Pinto' 'Elkin Yesid Veslin Díaz' 'Max Suell Dutra' 'Lucas Costa de Sousa' 'Victor Manuel Oliveira Batista' 'Alessandro Rosa Lopes Zachi' 'Sangyoon Lee'] This work proposes a mathematical solution for the attitude control problem of an ornithopter wing. An ornithopter is an artificial bird or insect-like…
Tyler Cluff, Frederic Crevecoeur, Stephen H. Scott
Modern control theory highlights strategies that consider a range of factors, such as errors caused by environmental disturbances or inaccurate estimates of body or environmental dynamics. Here we reveal similar diversity in how humans naturally adapt and control their arm movements. We divided participants into groups…
Steven A. Frank
The evolutionary design of regulatory control balances various tradeoffs in performance. Fast reaction to environmental change tends to favor plastic responsiveness at the expense of greater sensitivity to perturbations that degrade homeostatic control. Greater homeostatic stability against unpredictable disturbances…
Authors not listed
This paper presents an empirical comparison of process control algorithms, with particular emphasis on classical Proportional–Integral–Derivative (PID) control, Model Predictive Control (MPC), and neural network-based methods in the context of complex industrial plants. Since industrial sectors frequently demand…
Finlay Clark, Graeme Robb, Daniel Cole, Julien Michel
Alchemical absolute binding free energy (ABFE) calculations have substantial potential in drug discovery, but are often prohibitively computationally expensive. To unlock their potential, efficient automated ABFE workflows are required to reduce both computational cost and human intervention. We present a…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
This paper formally defines an operational isomorphism between spectral damping in molecular vibronic systems and neuromodulatory control in biological sensory systems. Without asserting causal continuity or physical identity across scales, we show that both domains instantiate the same class of output-selective…