Article
Computer Science, Artificial Intelligence
Qunxian Zheng, Shengyuan Xu, Baozhu Du
Summary: This article investigates the quantized guaranteed cost static output feedback control problem for a class of discrete-time nonlinear networked control systems using the Takagi-Sugeno fuzzy model and dynamic quantizers, introducing a novel guaranteed cost performance function and obtaining sufficient conditions through linear matrix inequalities.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Mathematics, Interdisciplinary Applications
Zahra Sadat Aghayan, Alireza Alfi, Yashar Mousavi, Ibrahim Beklan Kucukdemiral, Afef Fekih
Summary: This paper investigates the stabilization of uncertain neutral-type delay fractional systems and proposes static and dynamic output feedback control design methods. Closed-loop robust stability is explored using the Lyapunov theorem.
CHAOS SOLITONS & FRACTALS
(2022)
Review
Pharmacology & Pharmacy
Choong Yong Ung, Cristina Correia, Hu Li, Christopher M. Adams, Jennifer J. Westendorf, Shizhen Zhu
Summary: With increasing human life expectancy, the global medical burden of chronic diseases is growing. Chronic diseases often involve malfunctioning of multiple organs, and understanding the interorgan crosstalk is crucial to understanding the etiology of chronic diseases. Researchers have proposed the locked-state model (LoSM) and cutting-edge systems biology and artificial intelligence strategies to decipher chronic multiorgan locked states. The findings have important clinical implications for improving treatments for chronic diseases.
DRUG DISCOVERY TODAY
(2024)
Article
Computer Science, Information Systems
Pedro M. Oliveira, Jonathan M. Palma, Erivelton G. Nepomuceno, Marcio J. Lacerda
Summary: This work focuses on the design of state-feedback and static output-feedback controllers for uncertain discrete-time systems using reinforcement learning (RL) method. A State-Action-Reward-State-Action (SARSA) algorithm is developed to achieve this goal. The method utilizes gain matrices directly as design variables and employs a time-varying incremental step. It also uses a grid in the uncertain parameters to place the poles of the closed-loop system in a disk on the complex plane. The efficacy of the method is demonstrated through numerical experiments and stability testing based on Lyapunov theory.
INFORMATION SCIENCES
(2023)
News Item
Multidisciplinary Sciences
Sara Phillips
Summary: By assessing the unique traits of traded animals and their role in ecosystems, researchers can evaluate the potential impact of losses.
Article
Chemistry, Multidisciplinary
Mohammad Jafari, Giovanny Marquez, Harika Dechiraju, Marcella Gomez, Marco Rolandi
Summary: The regulation of physiological processes through homeostasis can be disrupted by disease and aging, affecting the body's ability to maintain balance. Bioelectronic devices, combined with machine learning, can enhance the measurement and control of specific processes by sensing and responding in real-time. This advancement has promising implications for bioelectronic medicine and precision medicine, particularly in repairing impaired homeostatic mechanisms.
CELL REPORTS PHYSICAL SCIENCE
(2023)
Article
Automation & Control Systems
Zhenbin Du, Yonggui Kao, Ju H. Park
Summary: This paper addresses the interval type-2 fuzzy tracking control problem for nonlinear networked control systems with unreliable communication links. A tracking controller is designed for interval type-2 fuzzy sampled-data system under unreliable communication, enhancing stability through membership function characteristics and utilizing Lyapunov theory. The paper provides less conservative sufficient condition for designing networked tracking controller to ensure anticipated tracking performance, demonstrated through simulation examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Zhen-Guo Liu, Hongli Dong, Weixing Chen, Weidong Zhang
Summary: This article investigates the adaptive regulation problem of uncertain delayed nonlinear systems and presents two unified adaptive control methods to achieve global asymptotic stability by introducing dynamic gain transformation and using homogeneous domination method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Chunting Ji, Zhengqiang Zhang, Shuzhi Sam Ge
Summary: In this article, the global stabilization problem of ODE-parabolic PDE-ODE-coupled systems subject to spatially varying coefficients is investigated. State-feedback and output-feedback controllers are established using infinite-dimensional and finite-dimensional backstepping transformations to guarantee the global exponential stability of the closed-loop system. The boundedness and exponential convergence of the controllers are also studied. Simulation data is provided to illustrate the effectiveness of the theoretical results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xinyi Lu, Fang Wang, Zhi Liu, L. Philip Chen
Summary: The objective of this article is to propose an adaptive neural inverse optimal consensus tracking control for nonlinear multi-agent systems (MASs) with unmeasurable states. A new observer is created to approximate the unknown state, which includes the outputs of other agents and their estimated information. The proposed scheme not only insures that all signals of the system are cooperatively semiglobally uniformly ultimately bounded (CSUUB), but also realizes optimal control of all signals.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Kaiwen Chen, Alessandro Astolfi
Summary: This article investigates the adaptive control problem for systems with time-varying parameters using the congelation of variables method, and designs a controller that achieves asymptotic output regulation, outperforming classical adaptive controllers.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Yahao Chen
Summary: The article investigates feedback linearization problems for nonlinear differential-algebraic control systems (DACS), considering external and internal feedback equivalences, as well as a concept of explicitation with driving variables. Necessary and sufficient conditions for feedback linearization of DACS are provided, showing a close relationship between feedback linearizability and the involutivity of explicitation systems. The results are illustrated with an academic example and a constrained mechanical system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Engineering, Multidisciplinary
Guanglei Zhao, Changchun Hua, Shuang Liu
Summary: This paper investigates the consensus problem in multi-agent systems using sampled-data dynamic output feedback control. A distributed control law is designed based on sampled relative output information between neighboring agents. A closed-loop system model with hybrid dynamics is constructed for consensus analysis and choice of sampling period. Lyapunov-based analysis is presented to develop stability conditions. Compared to existing works, observer design is not required, and only sampled relative output information is used, with the ability to explicitly compute the maximum allowable sampling period.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Mustafa H. Khammash
Summary: DNA is the most important design template, and we have the ability to directly edit it and design our own control systems. If used responsibly, this ability can have tremendous benefits for health and science.
PROCEEDINGS OF THE IEEE
(2022)
Article
Automation & Control Systems
Florentina Nicolau, Witold Respondek, Shunjie LI
Summary: This paper studies feedback linearization of multi-input control-affine systems using a particular class of nonregular feedback transformations, and provides geometric necessary and sufficient conditions to describe these systems.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2022)
Editorial Material
Multidisciplinary Sciences
Antoine Baudrimont, Attila Becskei
Article
Biochemistry & Molecular Biology
Chieh Hsu, Vincent Jaquet, Farzaneh Maleki, Attila Becskei
JOURNAL OF MOLECULAR BIOLOGY
(2016)
Article
Cell Biology
Chieh Hsu, Vincent Jaquet, Mumun Gencoglu, Attila Becskei
Article
Cell Biology
Vincent Jaquet, Chieh Hsu, Attila Becskei
INTEGRATIVE BIOLOGY
(2017)
Article
Biology
Farzaneh Maleki, Attila Becskei
JOURNAL OF THEORETICAL BIOLOGY
(2017)
Article
Biochemical Research Methods
Mumun Gencoglu, Alexander Schmidt, Attila Becskei
ACS SYNTHETIC BIOLOGY
(2017)
Article
Multidisciplinary Sciences
Antoine Baudrimont, Sylvia Voegeli, Eduardo Calero Viloria, Fabian Stritt, Marine Lenon, Takeo Wada, Vincent Jaquet, Attila Becskei
Article
Urology & Nephrology
Meline Nogueira Lucena Stoelting, Stefano Ferrari, Christoph Handschin, Attila Becskei, Maurizio Provenzano, Tullio Sulser, Daniel Eberli
JOURNAL OF UROLOGY
(2013)
Article
Biochemistry & Molecular Biology
Marie Mi Bonde, Sylvia Voegeli, Antoine Baudrimont, Bertrand Seraphin, Attila Becskei
NUCLEIC ACIDS RESEARCH
(2014)
Article
Cell Biology
Takeo Wada, Sandrine Wallerich, Attila Becskei
Article
Biochemical Research Methods
Takeo Wada, Sandrine Wallerich, Attila Becskei
ACS SYNTHETIC BIOLOGY
(2019)
Article
Cell Biology
Antoine Baudrimont, Vincent Jaquet, Sandrine Wallerich, Sylvia Voegeli, Attila Becskei
Review
Biochemistry & Molecular Biology
Attila Becskei
Article
Biochemistry & Molecular Biology
Vincent Jaquet, Sandrine Wallerich, Sylvia Voegeli, Demeter Turos, Eduardo C. Viloria, Attila Becskei
Summary: The rate of chemical reactions increases with temperature, but biochemical reactions can deviate from this relationship. The degradation of mRNAs is influenced by translation and codon composition. A method was developed to identify a neutral half-life for mRNA stabilization through translation. Some codons and Upf1 compensate for temperature in mRNA degradation.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Imre Majer, Amirhossein Hajihosseini, Attila Becskei
