Results 121 to 130 of about 5,853 (227)
Stability Analysis of a Nonautonomous Diffusive Predator-Prey Model with Disease in the Prey and Beddington-DeAngelis Functional Response. [PDF]
Zhang Y, Jiang T, Wang C, Shang Q.
europepmc +1 more source
A practical guide to characterising ecological coexistence. [PDF]
Clark AT +9 more
europepmc +1 more source
ABSTRACT A newly developed robust control strategy based on an adaptive neural network (ANN) estimator performed in concert with adaptive super‐twisting (ASTW) control is presented. The proposed adaptive robust control algorithm is applied to a class of perturbed nonlinear systems and features a significantly decreased control gain with respect to the ...
Mohammad Javad Mirzaei +3 more
wiley +1 more source
ABSTRACT The importance of frequency domain methods in analysis and design of sliding mode (SM) control systems is mostly associated with chattering, where the advantages of these methods over state‐space and Lyapunov's methods are quite obvious.
I. M. Boiko
wiley +1 more source
A sensor-fault resilient artificial pancreas using type-3 fuzzy logic and predictive controls. [PDF]
Mai VT +3 more
europepmc +1 more source
Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator
ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases.
Benjamin Calmbach +2 more
wiley +1 more source
Double reinforcement learning for cluster synchronization of Boolean control networks under denial of service attacks. [PDF]
Deng W, Huang C, Shuai Q.
europepmc +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
Design criterion research and application based on grasping stability for shape self-adaptive ring gripper. [PDF]
Yao S +4 more
europepmc +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source

