26 papers · ranked by Valyu relevance
Xizhe Zhang, Chunyu Pan, Weixiong Zhang
Unveiling the underlying control principles of complex networks is one of the ultimate goals of network science. We introduce a novel concept, control hub, to reveal a cornerstone of the control structure of a network. The control hubs of a network are the nodes that lie in the middle of a control path in every control…
Joseph Norby, Ardalan Tajbakhsh, Yanhao Yang, Aaron M. Johnson
—This work introduces a formulation of model predictive control (MPC) which adaptively reasons about the complexity of the model based on the task while maintaining feasibility and stability guarantees. Existing MPC implementations often handle computational complexity by shortening prediction horizons or simplifying…
Frank Keul, Kay Hamacher, Reik Donner, António M. Lopes
Natural systems often show complex dynamics. The quantification of such complex dynamics is an important step in, e.g., characterization and classification of different systems or to investigate the effect of an external perturbation on the dynamics. Promising routes were followed in the past using concepts based on…
Jing Xu, Timothy Ma, Sapna Kumar, Kevin Olds + 4 more
The ability to control each finger independently is an essential component of human hand dexterity. A common observation of hand function impairment after stroke is the loss of this finger individuation ability, often referred to as enslavement, i.e., the unwanted coactivation of non-intended fingers in individuated…
Bingbo Wang, Xiujuan Ma, Cunchi Wang, Mingjie Zhang + 6 more
The determination of directed control paths in complex networks is important because control paths indicate the structure of the propagation of control signals through edges. A challenging problem is to identify them in complex networked systems characterized by different types of interactions that form multilayer…
Emmanouil Alexis, Clarence W. Rowley, José L. Avalos
Achieving complex multi-species control objectives is essential for engineering advanced autoregulated biomolecular devices. This paper addresses the problem of robust steady-state tracking for outputs defined as multiplicative combinations of biomolecular species concentrations. We first introduce a control…
Ralvi Isufaj, Marsel Omeri, Miquel Àngel Piera, Jaume Saez Valls + 1 more
'Christian Eduardo Verdonk Gallego'] Present air traffic complexity metrics are defined considering the interests of different management layers of ATM. These layers have different objectives which in practice compete to maximize their own goals, which leads to fragmented decision making. This fragmentation together…
Jan Žižka
Software systems are expansive, exhibiting behaviors characteristic of complex systems, such as self-organization and emergence. These systems, highlighted by advancements in Large Language Models (LLMs) and other AI applications developed by entities like DeepMind and OpenAI showcase remarkable properties. Despite…
Yongchuan Yu, Haonan Yang, Shuo Wan, Qiusheng Liu + 1 more
Series multivariable coupled system is a typical controlled object in process control industry. The interaction of various state variables between multiple inputs and outputs in the system forms a complex series multivariable coupled structure. This coupled structure makes the control of a controlled object in the…
Alexander F. Siegenfeld, Yaneer Bar-Yam, António Lopes
Ashby’s law of requisite variety allows a comparison of systems with their environments, providing a necessary (but not sufficient) condition for system efficacy: A system must possess at least as much complexity as any set of environmental behaviors that require distinct responses from the system. However, to account…
Vladimir Modrak, Zuzana Soltysova, Mohammad Reza Rahimi Tabar
Product variety complexity assessment plays a vital role in system design, as it has tremendous negative effects on manufacturing complexity in assembly systems and supply chains. On the other hand, practitioners and researchers frequently consider the number of product variants as a sufficient measure to be used to…
Taiwo Adetiloye, Anjali Awasthi
— The logistics of urban areas are becoming more sophisticated due to the fast city population growth. The stakeholders are faced with the challenges of the dynamic complexity of city logistics(CL) systems characterized by uncertainty effect together with the freight vehicle emissions causing pollution. In this…
Federico Riva, Caio Graco-Roza, Gergana N. Daskalova, Emma J. Hudgins + 4 more
'Emma J. Hudgins' 'Jayme M.\xa0M. Lewthwaite' 'Erica A. Newman' 'Masahiro Ryo' 'Stefano Mammola'] Ecological systems are quintessentially complex systems. Understanding and being able to predict phenomena typical of complex systems is, therefore, critical to progress in ecology and conservation amidst escalating global…
Ron Teichner, Aseel Shomar, O. Barak, N. Brenner + 3 more
Homeostasis, the ability to maintain a relatively constant internal environment in the face of perturbations, is a hallmark of biological systems. It is believed that this constancy is achieved through multiple internal regulation and control processes. Given observations of a system, or even a detailed model of one…
Mary Pitman, David Hahn, Gary Tresadern, David Mobley
Drug discovery is accelerated with computational methods such as alchemical simulations to estimate ligand affinities. In particular, relative binding free energy (RBFE) simulations are beneficial for lead optimization. To use RBFE simulations to compare prospective ligands in silico, researchers first plan the…
Authors not listed
Active assembly of matter is a defining trait of living systems, enabling the creation of far-from-equilibrium materials essential for the functionality of life. This is achieved through energy-dissipative, multi-step processes facilitated by various biomolecular agents for chemical and mechanical assembly of matter.…
Matthew Ho, Andri Pradana, Thomas J. Elliott, Lock Yue Chew + 1 more
'Mile Gu'] Elementary cellular automata (ECA) present iconic examples of complex systems. Though described only by one-dimensional strings of binary cells evolving according to nearest-neighbour update rules, certain ECA rules manifest complex dynamics capable of universal computation. Yet, the classification of…
Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, Jun Kitazono + 1 more
The brain is a system that performs numerous functions by controlling its states. Quantifying the cost of this control is essential as it reveals how the brain can be controlled based on the minimization of the control cost, and which brain regions are most important to the optimal control of transitions. Despite its…
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…
Davide Salzano, Barbara Shannon, Claire Grierson, Lucia Marucci + 2 more
Cybergenetics, an emerging discipline straddling synthetic biology and control engineering, seeks to harness feedback control mechanisms for engineering reliable synthetic biological circuits that dynamically regulate target gene expression within host organisms. Current approaches, including embedded control…
Shijie Deng, Brandon Jolly, James Wilkes, Yu Mu + 5 more
Integrated catalysis is an emerging methodology that can streamline the multistep synthesis of complicated products in a single reaction vessel, achieving a high degree of control and reducing the waste and cost of the overall process. Integrated catalysis utilizes spatial and temporal control to couple different…
Yujie Yang, Letian Tao, Likun Wang, Shengbo Eben Li
—Controllability is a fundamental property of control systems, serving as the prerequisite for controller design. While controllability test is well established in modelic (i.e., modeldriven) control systems, extending it to datatic (i.e., data-driven) control systems is still a challenging task due to the absence of…
Lucas Böttcher, Luis L. Fonseca, Reinhard C. Laubenbacher
The objective of personalized medicine is to tailor interventions to an individual patient’s unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data collected…
Authors not listed
Rapid and robust simulation of chemical processes is critical to conduct process design, optimization, techno-economic analysis, and sustainability analysis. Yet, efficiently solving simulation models remains a challenge due to the highly coupled and nonlinear nature of the underlying algebraic equations that capture…
Saira Naseer, Wer-Jer Chang, Muhammad Shamrooz Aslam, Muhammad Hashim Bukhari + 3 more
The global carbon-climate system is a highly complex and dynamic network characterized by multiple feedback loops between interconnected components. Addressing the risks of climate change requires active intervention across these components (Atmospheric level, Surface ocean, and Terrestrial biosphere). Consequently…
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…