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Article
A modified Hammerstein modeling by the differential evolution algorithm
This paper focuses on the nonlinear system modeling based on using a modified Hammerstein system model. The proposed Hammerstein structure is composed of a bilinear neural network (BNN) and a recursive digital...
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Article
Identification of nonlinear discrete systems using a new Hammerstein model with Volterra neural network
For identifying nonlinear discrete systems, a new Hammerstein model consisting of Volterra neural network (VNN) and infinite impulse response (IIR) digital system is developed in this paper. The nonlinear stat...
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Article
Open AccessAn efficient context-aware screening system for Alzheimer's disease based on neuropsychology test
Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to al...
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Article
Open AccessParameter Identification of A Four-dimensional Chaotic System Using Real-valued Immune Algorithms
This paper presents a new immune algorithm to solve the parameters identification problem of the four-dimensional chaotic system. The proposed algorithm is directly to utilize the real-value operation to fulfi...
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Article
PID Controller Design for MIMO Processes Using Improved Particle Swarm Optimization
This paper aims at the PID control system design for multivariable input and multivariable output (MIMO) processes. An improved version of a particle swarm optimization (PSO) algorithm is utilized to design PI...
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Article
Recurrent neural network modeling combined with bilinear model structure
In this paper, we propose a neural network modeling scheme for nonlinear systems. The proposed architecture is a new combination of neural network and bilinear system model in which the terms of cross-products...
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Chapter and Conference Paper
A Strict LMI Condition for ESPR Property of Continuous-Time Descriptor Systems
In this paper, a new strict linear matrix inequality (LMI) condition for extended strictly positive real (ESPR) characterization of continuous-time descriptor systems is addressed. Compared with existing nonst...
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Chapter and Conference Paper
A Multi-crossover Genetic Algorithm for Parameters Estimation of a Two-link Robot
In this paper, we propose a novel multi-crossover genetic algorithm (GA) to identify the system parameters of a two-link robot. It is well known that the ordinary form of GA used for solving a given optimizati...