AIMC Topic: Nonlinear Dynamics

Clear Filters Showing 431 to 440 of 759 articles

A symbolic network-based nonlinear theory for dynamical systems observability.

Scientific reports Feb 28, 2018
When the state of the whole reaction network can be inferred by just measuring the dynamics of a limited set of nodes the system is said to be fully observable. However, as the number of all possible combinations of measured variables and time deriva...
Nonlinear Dynamics Observation Systems Theory Algorithms Models, Theoretical DNA Replication Humans Neural Networks, Computer
View on PubMed DOI

Neural robust stabilization via event-triggering mechanism and adaptive learning technique.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2018
The robust control synthesis of continuous-time nonlinear systems with uncertain term is investigated via event-triggering mechanism and adaptive critic learning technique. We mainly focus on combining the event-triggering mechanism with adaptive cri...
Nonlinear Dynamics Neural Networks, Computer Machine Learning Feedback
View on PubMed DOI

Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton-Jacobi-Bellman equation.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2018
This paper presents a new theoretical design of nonlinear optimal control on achieving chaotic synchronization for coupled stochastic neural networks. To obtain an optimal control law, the proposed approach is developed rigorously by using Hamilton-J...
Nonlinear Dynamics Stochastic Processes Uncertainty Neural Networks, Computer
View on PubMed DOI

Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

PloS one Jan 25, 2018
This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network mode...
Neural Networks, Computer Computer Simulation Models, Neurological Nonlinear Dynamics Feedback Time Factors
View on PubMed DOI

Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics.

Neural networks : the official journal of the International Neural Network Society Jan 5, 2018
This paper is concerned with the problem of decentralized adaptive backstepping state-feedback control for uncertain high-order large-scale stochastic nonlinear time-delay systems. For the control design of high-order large-scale nonlinear systems, o...
Algorithms Computer Simulation Feedback Neural Networks, Computer Uncertainty Time Factors Nonlinear Dynamics
View on PubMed DOI

Pharmacokinetics of dexmedetomidine during analgosedation in ICU patients.

Journal of pharmacokinetics and pharmacodynamics Dec 30, 2017
Dexmedetomidine (DEX) is a fairly new alfa-agonist which has been increasingly used in recent years for analgosedation, mostly because it offers a unique ability of providing both moderate level of sedation and analgesia without respiratory depressio...
Models, Biological Young Adult Infusions, Intravenous Nonlinear Dynamics Female Adult Male Humans Middle Aged Dexmedetomidine Metabolic Clearance Rate Aged Intensive Care Units Hypnotics and Sedatives Aged, 80 and over
View on PubMed DOI

A functional supervised learning approach to the study of blood pressure data.

Statistics in medicine Dec 20, 2017
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance...
Algorithms Databases, Factual Humans Hypotension Models, Statistical Nonlinear Dynamics Blood Pressure Hypertension Biometry Supervised Machine Learning Blood Pressure Determination
View on PubMed DOI

Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control.

Computational intelligence and neuroscience Dec 19, 2017
The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model. In this work, the flight control law is pr...
Nonlinear Dynamics Computer Simulation Humans Feedback Neural Networks, Computer Aircraft
View on PubMed DOI

Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2017
This paper presents a novel adaptive dynamic programming(ADP)-based self-learning robust optimal control scheme for input-affine continuous-time nonlinear systems with mismatched disturbances. First, the stabilizing feedback controller for original n...
Feedback Nonlinear Dynamics Machine Learning Computer Simulation Neural Networks, Computer Learning
View on PubMed DOI

Spatiotemporal Bayesian networks for malaria prediction.

Artificial intelligence in medicine Dec 11, 2017
Targeted intervention and resource allocation are essential for effective malaria control, particularly in remote areas, with predictive models providing important information for decision making. While a diversity of modeling technique have been use...
Disease Vectors ROC Curve Area Under Curve Malaria Nonlinear Dynamics Bayes Theorem Thailand Incidence Time Factors Artificial Intelligence Animals Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals