27 papers · ranked by Valyu relevance
Jonathon R. Howlett, Martin P. Paulus
Control theory, which has played a central role in technological progress over the last 150 years, has also yielded critical insights into biology and neuroscience. Recently, there has been a surging interest in integrating control theory with computational psychiatry. Here, we review the state of the field of using…
Asifa Yousaf
- I. Abstract—Stability and control of a non-linear system represent an important system configuration that frequently arises in practical engineering. Stability covers a vast range of systems that do not obey the superposition principle and applies to more real-world systems because all real control systems are…
Ankit Kumar, Loren M. Frank, Kristofer E. Bouchard
Population Dynamics Authors: ['Ankit Kumar' 'Loren M. Frank' 'Kristofer E. Bouchard'] There is overwhelming evidence that cognition, perception, and action rely on feedback control. However, if and how neural population dynamics are amenable to different control strategies is poorly understood, in large part because…
Sayed Naseel Mohamed Thangal, Heather L. More, C. David Remy, J. Maxwell Donelan
Animals rely on both feedforward and feedback control for perturbation responses. When comparing animals of different sizes, we find that several features that affect perturbation responses change—larger animals have longer sensorimotor time delays, heavier body segments and proportionally weaker muscles. We used…
Sayed Naseel Mohamed Thangal, Heather L. More, C. David Remy, J. Maxwell Donelan + 1 more
Animals rely on feedforward and feedback control for perturbation responses. When comparing terrestrial mammals of different sizes, we generally find that several features that affect perturbation responses change-larger animals have longer sensorimotor time delays, heavier body segments, and proportionally weaker…
Sam Tilsen
A conceptual framework and mathematical model of the control of articulatory timing are presented, in which feedback systems play a fundamental role. The model applies both to relatively small timescales, such as within syllables, and to relatively large timescales, such as multi-phrase utterances. A crucial…
Yingfang Zhu, Yuan Hu, Erxi Zhu, Roberto Barrio
Chaos has emerged as a significant area of research, with the control of chaotic systems being central to this field. This study proposes a novel trigonometric feedback control strategy to regulate Hopf bifurcation in a four-dimensional hyperchaotic system featuring coexisting attractors. By introducing a nonlinear…
Courtney I. Dobrott, Matthew I. Becker, Abigail L. Person
The ability to execute accurate movements is thought to rely on both anticipatory feedforward commands and rapid feedback corrections, yet how these control systems are integrated within cerebellar circuits remains unclear. Here, we show that corrective sub-movements (CSMs) – structured, feedback-driven adjustments…
Svenja Drücker, Lukas Lanza, Thomas Berger, Timo Reis + 1 more
'Robert Seifried'] Current engineering design trends, such as light-weight machines and humanmachine-interaction, often lead to underactuated systems. Output trajectory tracking of such systems is a challenging control problem. Here, we use a twodesign-degree of freedom control approach by combining funnel feedback…
Giovanny Marquez, Mohammad Jafari, Manasa Kesapragada, Kan Zhu + 10 more
'Prabhat Baniya' 'Yao-Hui Sun' 'Hao-Chieh Hsieh' 'Cristian O. Hernandez' 'Mircea Teodorescu' 'Marco Rolandi' 'Min Zhao' 'Marcella Gomez' 'Stefania Romeo' 'Anna Sannino'] Electric fields (EFs) are widely employed to promote tissue regeneration and accelerate wound healing. Despite extensive study, the cellular responses…
Robert R. Bitmead
Astr ˚ om, a towering figure of control theory and practice and awardee of the 1993 IEEE Medal ¨ of Honor for his work on adaptive control, provides this assessment of the obstinate part of realizing a feedback controller. And yet we are exhorted to rely on solely-data-driven methods of control design skipping the…
Aidar Zhetessov, Nathan Petersen
— Modeling and comprehensive analysis of the Active Front-End (AFE) rectifier is addressed in this work. The particular emphasis is on the comparison of two state feedback control frameworks: state-space and frequency domain. The equivalence of both frameworks for the AFE case was shown. Moreover, analytical relations…
Julio E. Normey‐Rico, Marcelo Menezes Morato
In this article, we discuss a novel education approach to control theory in undergraduate engineering programs. In particular, we elaborate on the inclusion of an introductory course on process control during the first years of the program, to appear right after the students undergo basic calculus and physics courses.…
Yu Yang, Dominic G. Yared, Noah J. Cowan
Humans and other animals can readily learn to compensate for destabilizing dynamics, such as balancing an object or riding a bicycle. How does the nervous system learn to compensate for such destabilizing dynamics, and what are the benefits of the newly learned control policies? To investigate these questions, we…
Benjamin Campbell, Huai-Ti Lin, Holger Krapp
Biological systems have evolved to perform high-speed voluntary movements whilst maintaining robustness and stability. This paper examines a control architecture based on the principles of efference copies found in insect sensorimotor control which we call the inner-outer loop (IOL) controller. Within a control…
Aliye Hazal Koyuncu, Jacopo Movilli, Sevil Sahin, Dmitrii V. Kriukov + 2 more
This work describes a competing activation network, which is regulated by chemical feedback at the liquid-surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in…
Jonathan E. Thomas, Katharina Stapelmann
Cold atmospheric plasmas (CAPs) within recent years have shown great promise in the field of plasma medicine, encompassing a variety of treatments from wound healing to the treatment of cancerous tumors. For each subsequent treatment, a different application of CAPs has been postulated and attempted to best treat the…
Lucy Dowdall, Maria Molina-Sanchez, Giulia Dominijanni, Edmund da Silva + 6 more
Somatosensory feedback is essential for motor control, yet artificial limbs are thought to lack such feedback. We investigated how the body and brain gather informative sensory signals from a wearable augmentation interface (a robotic digit for motor augmentation), and whether naturally-mediated feedback can support…
Mathis Fleury, Pauline Cloerec, Quentin Duche, Giulia Lioi + 1 more
As fMRI-Neurofeedback (fMRI-NF) is still in its early stages, many questions remain regarding the optimal methodology, particularly in relation to feedback modalities. One of the core components of neurofeedback is the feedback itself, which the participant relies on to regulate, learn, and refine their mental…
Chong Li, Liang Shen, Jiang Shao, Jiwen Fang + 2 more
'Roman A. Surmenev'] In order to improve the vibration suppression effect of the flexible beam system, active control based on soft piezoelectric macro-fiber composites (MFCs) consisting of polyimide (PI) sheet and lead zirconate titanate (PZT) is used to reduce the vibration. The vibration control system is composed…
Yoav Vered, Stephen J. Elliott
This paper describes the design of a robust controller for position control in systems with sandwiched backlash. The backlash, which is nonsmooth and nonlinear, is inevitable in the operation of many systems, but it can have destructive effects on the stability and performance of feedback systems. In this work, a…
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos + 5 more
A de novo molecular design workflow can be used together with technologies such as reinforcement learning to navigate the chemical space. A bottleneck in the workflow that remains to be solved is how to integrate human feedback in the exploration of the chemical space to optimize molecules. A human drug designer still…
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…
Authors not listed
Artificial intelligence (AI) is reshaping chemical engineering. Still, its role in safety-critical operations is limited because we rarely see tools that link physical models with data-driven methods. This study brings together three elements: physics-constrained neural networks, uncertainty quantification, and a…
Anish Rao, Ana Sanchez-Iglesias, Marek Grzelczak
Periodic responses to non-periodic energy inputs are hallmarks of living systems, that lead to metastable features across length scales, exemplified by phenomena such as oscillations. Experimental attempts to mimic such phenomenon have primarily utilized (macro)molecular building blocks that enable precise control over…
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…
Shangwei ZHOU, Yunsong Wu, Linlin Xu, Winfried Kockelmann + 9 more
Polymer electrolyte fuel cells (PEFCs) play a crucial role in approaching net-zero commitments due to their high-power density, rapid refuelling, and environmentally friendly operation. However, ensuring stable performance and durability relies on subtle water balance. Existing water management control strategies…