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In this work, the control problem for type-2 T-S fuzzy system with packet dropouts is investigated by modeling the system as a switched system with an unstable subsystem. The mode-dependent average dwell time approach in both slow and fast switching sense is utilized for the analysis and synthesis. A sufficient condition is given by ensuring the packet loss rate no bigger than the specific fast switching...
Proportional-integral-derivative (PID) controller is popular algorithm in structure vibration control. In order to maintain minimum regulation error, the PID control require big proportional and derivative gains. The control performances are not satisfied because of the big uncertainties in the buildings. In this paper, the type-2 fuzzy system is applied to compensate the unknown uncertainties, and...
Not only networks are ubiquitous in real world, but also networked dynamics provide a more precise scheme required to better understanding of surrounding phenomena and data. This network-centric approach can be applied to analyze time series data of any type. An abundant prevalence of time series observations demand inference of causality in addition to accurate prediction. In this paper, a fuzzy...
This paper is concerned with the problem of fuzzy modeling in the T-S fuzzy systems. In order to obtain relative simple T-S fuzzy model, combined with the traditional linearization approximation method on the fuzzy modeling. It deals the nonlinear term of unable to approximate with the same method of the uncertainties of processing, so that it could design the uncertainty T-S fuzzy system with the...
A generalized probability mixture density governs all additive fuzzy systems. These systems sum fired if-then rules to compute an output. Their mixture structure leads to new Bayes theorems and new ways to combine or fuse fuzzy systems. Additive fuzzy rule-base systems can uniformly approximate continuous functions while their Watkins representations can exactly represent bounded real vector functions...
This paper deals with the adaptive fuzzy sliding mode control problem for MEMS Gyroscope system via the global fast terminal sliding mode approach. A global fast terminal sliding-mode controller is designed to guarantee that the system can reach the sliding surface and converge to equilibrium point in a shorter finite time from any initial state surface. Furthermore, an adaptive fuzzy control is introduced...
The use of the type-2 fuzzy logic system (FLS) allows to a mobile robot to handle various uncertainties which can face it in an unknown environment. Actually, the type-2 FLS has become a popular approach applied for different control applications. In this paper, we will show the benefit of using the type-2 FLS on mobile robot navigation, comparing to the use of type-1 FLS. The procedure of this work...
A precise flow control of Chlorine in an industrial Chloroacetic acid production line is essentially important for the safety and quality of the production. Due to the time variability properties and non-linear characteristics of the system, an enhanced controller over the conventional PID controller is sought to be utilized for controlling a Chloroacetic acid reaction kettle. In this paper, the performance...
In an interconnected microgrid, the problems about the time delays and the lack of uniform control model cannot be ignored. To solve such problems for better stabilization, this paper establishes a T-S fuzzy model with multiple time delays. In addition, a parallel distributed compensation control is designed and the stability of the proposed closed-loop system has been proved. Then, the state feedback...
In this paper, robust stabilization conditions are presented for discrete-time polynomial fuzzy systems with parametric uncertainties. To do this, discrete-time polynomial fuzzy systems are firstly adopted for fuzzy modeling of the nonlinear systems in the presence of parametric uncertainties. Next, the sufficient conditions are derived for robust stabilization from Lyapunov stability and formulated...
Honduran coffee is one of the best coffees worldwide. Its cultivation and subsequent quality control require the use of expert cuppers. In this work a fuzzy logic type-2 expert system is used as a tool to obtain the quality level of a Honduran cup of coffee based on subjective criteria used by cuppers. A case is shown to prove the effectiveness of the expert system. The system was tested in more than...
In this study, Fuzzy Cognitive Maps (FCMs), which are powerful tools for graphical representation of knowledge, are analyzed from an ambiguity and fuzziness perspective. In conventional FCMs the causal strengths are represented with singleton (crisp) fuzzy numbers, but recently, other researchers proposed different FCM structures where uniform (interval) or triangular fuzzy numbers are used in causal...
This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results...
The automated evolutionary design of an optimal hierarchical fuzzy system combined with the use of Interval Type-2 Fuzzy Systems and the Beta basis function is considered in this study. The resulted proposed system is named the Hierarchical interval Type-2 Beta Fuzzy System (HT2BFS). For the learning process, two main optimizations steps are considered. The first one executes the structure learning...
In this paper we propose a new method for dynamic parameter adaptation in the bat algorithm (BA). BA is a metaheuristic algorithm inspired by the behavior of micro bats, which has been applied to different optimization problems obtaining good results. In this paper we propose dynamic parameter adaptation of the BA using Interval Type-2 fuzzy logic. Simulation results show that the proposed method...
A solution of intelligent, optimum guaranteed-cost and robust, control for a class of uncertain switched nonlinear systems via switched fuzzy models possessing time delays and uncertainties has been developed. Following the multiple Lyapunov functions approach, a non-fragile state feedback controller and a switching law are designed such that the closed-loop system is asymptotically stable and the...
A solution of an intelligent hybrid control for a class of complex nonlinear uncertainty plants via switched T-S fuzzy-system models possessing time delays and uncertainties is developed. The intelligent, fuzzy-system based, robust, output feedback control for this class of switched systems is investigated and solved by using the common and the multiple Lyapunov functions approaches as appropriate...
Our observation shows the limit of subjective logic that it treats equally the opinions and fails to operate them with their weights. To address this problem, we propose four novel operators including cumulative weighted fusion operator, averaging weighted fusion operator, cumulative weighted unfusion operator and cumulative weighted unfusion operator. These novel operators are capable of fusing or...
For many decision making problems, all the possible alternatives are treated equally before one find the most desirable alternative. But, it is a little unreasonable if all alternatives are treated equally. So, in this paper by taking the aggregation operator into account, the weights of criteria can be determined successfully. There in to, the parameters for aggregation operator are the decision...
For the shallow water sonar systems, the data quantity is usually huge and the characteristics of the background distribution are often time-varying and space-varying. While in the conventional target detection, the distribution model is usually assumed constant and its parameters are often estimated based on the limited reference cells surrounding the cell under test. How to fully utilize the data...
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