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This paper considers the synchronization of delayed chaotic neural networks with unknown disturbance via observer-based sliding mode control. We design a sliding surface involving integral structure and a discontinuous control law such that the trajectories of error system converge to the sliding surface in finite time and remain on it thereafter. Then, by constructing Lyapunov-Krasovskii functional and using the linear matrix inequality (LMI) technique, some sufficient conditions are derived to guarantee the synchronization of chaotic neural networks. The advantages of our proposed results include:(i) It can be applied to synchronous control for drive and response systems with different structures; (ii) It can be applied to the response system with unknown disturbance. Finally, a simulation example is shown to illustrate the proposed methods.
This article was published in the following journal.
Name: Neural networks : the official journal of the International Neural Network Society
This paper proposes a higher-order sliding mode observer based robust backstepping control to realize high-performance sensorless speed regulation for the interior permanent magnet synchronous motor (...
This paper presents a new control scheme for quadrotor unmanned aerial vehicle attitude control and disturbance suppression. A quadrotor dynamic model is divided into two subsystems: fully-actuated an...
In this work, a synchronization scheme for networks of complex systems is presented. The proposed synchronization scheme uses a control law obtained with some definitions from graph theory and solving...
This paper proposes a novel decentralized output sliding-mode fault-tolerant control (FTC) design for heterogeneous multiagent systems (MASs) with matched disturbances, unmatched nonlinear interaction...
The sliding mode control (SMC) approach has been extensively studied and applied owing to its excellent performance and inherent robustness. However, it could hardly address the mismatched uncertainti...
The aim of this observational study is to create a data base to extract feature of fast-acting drugs that can be monitor in real time to design control strategies based on high order slidi...
There is currently a consensus that non-invasive ventilation (NIV) in preterm infants is preferred over intubation. There are two ways of delivering NIV in preterm infants, nasal continuou...
This study's first aim is to widen the knowledge of the characteristics of delayed sleep phase disorder (DSPS) by focusing on the circadian rhythms of appetite regulation factors and their...
Elderly patients with an intertrochanteric hip fracture will be randomized to receive either a sliding hip screw (SHS) (control group) or InterTAN intermedullary nail (IMN) (experimental ...
High blood glucose levels in hospitalized patients with diabetes are associated with increased risk of medical complications. Improved glucose control with insulin injections may improve ...
The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material).
EEG phase synchronization of the cortical brain region (CEREBRAL CORTEX).
Cell surface proteins that bind acetylcholine with high affinity and trigger intracellular changes influencing the behavior of cells. Cholinergic receptors are divided into two major classes, muscarinic and nicotinic, based originally on their affinity for nicotine and muscarine. Each group is further subdivided based on pharmacology, location, mode of action, and/or molecular biology.
Patterns (real or mathematical) which look similar at different scales, for example the network of airways in the lung which shows similar branching patterns at progressively higher magnifications. Natural fractals are self-similar across a finite range of scales while mathematical fractals are the same across an infinite range. Many natural, including biological, structures are fractal (or fractal-like). Fractals are related to "chaos" (see NONLINEAR DYNAMICS) in that chaotic processes can produce fractal structures in nature, and appropriate representations of chaotic processes usually reveal self-similarity over time.
An anticonvulsant used to control grand mal and psychomotor or focal seizures. Its mode of action is not fully understood, but some of its actions resemble those of PHENYTOIN; although there is little chemical resemblance between the two compounds, their three-dimensional structure is similar.