In this paper, we present conditions for the stabilization and regulation of the tracking error for an n-dimensional minimum-phase system preceded by a Prandtl-Ishlinskii hysteresis operator. A general controller structure is considered; however, we assume that an integral action is present. The common Lyapunov function theorem is utilized together with a Linear Matrix Inequality (LMI) conditio...

BACKGROUND 'Obesity paradox' was not consistently observed in Asians with coronary artery disease (CAD). AIM The study investigated the association between body composition and outcomes in Chinese patients with CAD. DESIGN Cohort study. METHOD A total of 3280 patients with angiographically validated CAD were consecutively included. Body fat (BF) percentage and lean mass index (LMI) were e...

Many of the systems in process and aerospace industry can be modeled as a three tank system. LMI and NLMI based controller design methods have been applied to three tank system in literature. Nonlinear methods suffer from lack of ease for implementation, on the other hand, LMI based methods have to be unduly robust to cater for significant uncertainties arising from linearization around an equi...

This paper introduces to constructing problems of convex relaxations for nonconvex polynomial optimization problems. Branch-and-bound algorithms are convex relaxation based. The convex envelopes are of primary importance since they represent the uniformly best convex underestimators for nonconvex polynomials over some region. The reformulationlinearization technique (RLT) generates LP (linear p...

In this paper, we investigate the delay-dependent robust stability of fuzzy Cohen-Grossberg neural networks with Markovian jumping parameter and mixed time varying delays by delay decomposition method. A new Lyapunov-Krasovskii functional (LKF) is constructed by nonuniformly dividing discrete delay interval into multiple subinterval, and choosing proper functionals with different weighting matr...

This paper introduces a new hierarchy for controlling dynamical systems. The new control hierarchy uses supervised neural network to identify certain parameters of the transformed system matrix [ A ]. Then, Linear Matrix Inequality (LMI) is used to determine the permutation matrix [P] so that a complete system transformation {[ B~ ], [ C ], [ D~ ]} is performed. The transformed model is then re...

Our large-scale computational model of the primary visual cortex that incorporates orientation-specific, long-range couplings with slow NMDA conductances operates in a fluctuating dynamic state of intermittent desuppression (IDS), which captures the behavior of coherent spontaneous cortical activity, as revealed by in vivo optical imaging based on voltage-sensitive dyes. Here, we address the fu...

BACKGROUND AND PURPOSE A comparison between long-term sensory sequelae of lateral medullary infarction (LMI) and medial medullary infarction (MMI) has never been made. METHODS We studied 55 patients with medullary infarction (41 with LMI and 14 with MMI) who were followed up for >6 months. We examined and interviewed the patients with the use of a structured format regarding the most importan...

Method LMI created a questionnaire to cover the five building blocks of workforce development: engaged stakeholders, optimise policies and plans, workforce development, increase performance, professionalization of SCM (USAID|DELIVER 2013). In collaboration with PtD, we then contacted potential case study participants and, when agreed, conducted an interview using the structured questionnaire. L...