A fuzzy logic controller equipped with a training (adaptive) algorithm is proposed in this work to achieve H/sup /spl infin// tracking performance for class of uncertain (model free) nonlinear single-input single-output (SISO) systems external disturbances. An attempt also made create bridge between two important control design techniques, i.e., and design, so as supply more intelligence better performance. The perfect matching parameters an adaptive system generally deemed impossible....

This study introduces a fuzzy control design method for nonlinear systems with guaranteed H/sub /spl infin// model reference tracking performance. First, the Takagi and Sugeno (TS) is employed to represent system. Next, based on model, observer-based controller developed reduce error as small possible all bounded inputs. The advantage of proposed that only simple used in our approach without feedback linearization technique complicated adaptive scheme. By method, problem parameterized terms...

This study introduces a fuzzy linear control design method for nonlinear systems with optimal H/sup /spl infin// robustness performance. First, the Takagi and Sugeno model (1985) is employed to approximate system. Next, based on model, controller developed stabilize system, at same time effect of external disturbance performance attenuated minimum level. Thus can be achieved in systems. In proposed method, provides rough while scheme precise achieve Linear matrix inequality (LMI) techniques...

This paper describes the robust H/sub /spl infin// filtering analysis and synthesis of nonlinear stochastic systems with state exogenous disturbance-dependent noise. We assume that measurement are corrupted by uncertain disturbance system dynamic is modeled Ito/spl circ/-type differential equations. For general systems, filter can be obtained solving second-order Hamilton-Jacobi inequalities. When worst-case considered in design procedure, a mixed 2//H/sub problem also solved minimizing...

This paper discusses the $H_{\infty}$ control problem for a class of nonlinear stochastic systems with both state- and disturbance-dependent noise. By means Hamilton--Jacobi equations, infinite finite horizon $H_\infty$ designs are developed. Some results on deterministic generalized to setting. We introduce some useful concepts such as "zero-state observability" detectability" which, together LaSalle invariance principle, yield valuable consequences in control.

Abstract This paper presents several sufficient conditions, delay-independent or delay-dependent, that guarantee the robust stability of uncertain time-delay systems subjected to parametric perturbations. Both single and composite with one delayed state are considered each these results, expressed by a succinct scalar inequality, permits assessment transient behaviour systems. The robustness system respect delay uncertainty is also discussed. Furthermore, results extended perturbed multiple...

A state feedback H∞optimal disturbance attenuation for the model reference control of rigid robotic systems is studied. The disturbances affecting system dynamics come from residue applied torques due to perturbations parameters and external noise. design objective that attentuation level must be less than or equal a desired positive value γ. By combining nonlinear minimax technique with work Johansson (1990) we are able present an explicit global solution this time-varying H∞ -control...

In this paper, the generalized Lyapunov equation approach is used to study stochastic stabilization/detectability with state-multiplicative noise. Some practical test criteria for stabilization and detectability, such as Popov-Belevitch-Hautus criterion exact are obtained. Moreover, useful properties of derived based on critical stability detectability introduced in paper. As applications, first, linear quadratic regulator well related algebraic Riccati discussed extensively. Second,...

A Kalman-based interacting multiple model (IMM) smoother is proposed for mobile location estimation with the time of arrival (TOA) measurement data in cellular networks to meet Federal Communications Commission (FCC) requirement phase 2. In this study, line-of-sight (LOS) and non-line-of-sight (NLOS) conditions are considered as a Markov process two interactive modes. Then we propose IMM accurately estimate smooth range between corresponding base station (BS) (MS) networks. It shown that...

A robust tracking control design of robot systems including motor dynamics with parameter perturbation and external disturbance is proposed in this study via adaptive fuzzy cancellation technique. minimax controller equipped a fuzzy-based scheme used to enhance the performance spite system uncertainties disturbance. The procedure divided into three steps. At first, linear nominal robotic obtained model reference desired eigenvalue assignment. Next, logic constructed then tuned eliminate...

An extended Kalman-based interacting multiple model (EK-IMM) smoother is proposed for mobile location estimation with the data fusion of time arrival (TOA) and received signal strength (RSS) measurements in a rough wireless environment. The Kalman filter used nonlinear estimation. IMM employed as switch between line-of-sight (LOS) non-LOS (NLOS) states, which are considered to be Markov process two interactive modes. Combining filtering scheme accurately smooth range corresponding base...

In this paper, a robust fuzzy control design is proposed for the stabilization of nonlinear partial differential systems (NPDSs). Based on Galerkin's method, Takagi-Sugeno (T-S) PDS first to model an NPDS. Then, T-S can be represented by finite-dimensional subsystem in controlled mode and coupled infinite-dimensional residual mode. Therefore, NPDS partitioned into slow state-space fast tolerated. small-gain theorem, observer-based controller developed tolerate asymptotically stabilize...

The problem of the stabilization time-delay systems containing saturating actuators is considered. Two kinds feedback stabilizing laws are treated: state and sampled-state feedback. Several sufficient conditions derived to guarantee stability system under control. Each these results, expressed by a scalar inequality, permits us assess transient behaviour controlled system. results presented enable practical consideration unavoidable saturation give an insight into analysis systems.

Cancer is caused by genetic abnormalities, such as mutations of oncogenes or tumor suppressor genes, which alter downstream signal transduction pathways and protein-protein interactions. Comparisons the interactions proteins in cancerous normal cells can shed light on mechanisms carcinogenesis. We constructed initial networks involved apoptosis use two human yeast two-hybrid data sets four online databases. Next, we applied a nonlinear stochastic model, maximum likelihood parameter...

In this paper, we address the synchronization problem of coupled partial differential systems (PDSs). First, asymptotical and <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> N-coupled PDSs with space-independent coefficients are considered without or spatio-temporal disturbance, respectively. The sufficient conditions to guarantee derived. effect spatial domain on is also presented....

This paper addresses the robust reference-tracking-control problem for nonlinear distributed parameter systems (NDPSs) with time delays, external disturbances, and measurement noises. The NDPS is measured at several sensor locations output-feedback tracking control. A fuzzy-spatial state-space model derived via finite-difference approach introduced to represent time-delayed system. Thus, we use a fuzzy interpolation method local linear approximate system employ partial differential operators...

Lung cancer is the leading cause of deaths worldwide. Many studies have investigated carcinogenic process and identified biomarkers for signature classification. However, based on research dedicated to this field, there no highly sensitive network-based method carcinogenesis characterization diagnosis from systems perspective.In study, a biology approach integrating microarray gene expression profiles protein-protein interaction information was proposed develop biomarker molecular...

Based on discrete martingale theory, the LaSalle-type theorem for general discrete-time stochastic systems is obtained and almost sure stability in turn discussed. As applications, infinite horizon nonlinear optimal regulator investigated, a dynamical programming equation called Hamilton-Jacobi-Bellman also derived control.

Adaptive fuzzy-based tracking control designs are proposed in the paper for both holonomic mechanical systems as well a large class of nonholonomic with plant uncertainties and external disturbances. A unified systematic procedure is employed to derive controllers systems, respectively. First, fuzzy logic system introduced learn behavior unknown (or uncertain) dynamics by using an adaptive algorithm. Next, effect approximation error on must be efficiently eliminated employing additional...

In orthogonal frequency division multiplexing (OFDM) systems, time-varying multipath fading leads to the loss of subcarrier orthogonality and occurrence intercarrier interference (ICI). this study, an efficient ICI suppression with less noise enhancement for multicarrier equalization is presented by using a parallel canceling scheme via frequency-domain techniques, assumption that channel impulse response (CIR) varies linearly during block period. order avoid performance deterioration due...

The stability bound problem of linear time-invariant singularly perturbed systems is considered. A set new conditions based on the frequency-domain representation derived. criteria can be easily verified by computing certain singular values within finite frequency intervals. Illustrative examples show that proposed actually induce a less conservative epsilon than existing criteria, and for cases an infinite may obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Abstract Motivation: Genome-wide gene expression programs have been monitored and analyzed in the yeast Saccharomyces cerevisiae, but how cells regulate global response to environmental changes is still far from being understood. We present a systematic approach quantitatively characterize transcriptional regulatory network of cell cycle. For interpretative purpose, 20 target genes were selected because their patterns fluctuated periodic manner concurrent with cycle peaked at different...

Abstract Background Noise has many important roles in cellular genetic regulatory functions at the nanomolar scale. At present, no good theory exists for identifying all possible mechanisms of networks to attenuate molecular noise achieve ability or amplify randomize outcomes advantage diversity. Therefore, filtering network is an topic gene under intrinsic fluctuation and extrinsic noise. Results Based on stochastic dynamic regulation equation, reaction rates modeled as a state-dependent...