In this work, a new nonlinear control method is proposed, which integrates the Takagi–Sugeno (T–S) fuzzy model with Principal Component Analysis (PCA) technique. The approach uses PCA to reduce system’s dimensionality, minimizing number of rules required in T–S model. This reduction not only simplifies system variables but also decreases computational complexity, resulting more efficient smooth transient responses and zero steady-state error. To validate performance PCA-based for both...

Abstract The multivariable optimal control of a wind turbine by an approach based on incremental state model is proposed. advantages in comparison with the non one are that action cancels steady errors and solves problem computing target state, choosing zero as objective. Linear Quadratic Regulator (LQR) observer applied. effectiveness proposed method, over one, examined applying linear controllers to nonlinear model. results show LQR presents good transient response errors, even presence...

Abstract Two new and efficient approaches are presented to improve the local global estimation of Takagi‐Sugeno (T‐S) fuzzy model. The main aim is obtain high function approximation accuracy fast convergence. problem that T‐S identification method can not be applied when membership functions overlapped by pairs. developed here considered as generalized versions with optimized performance. first uses minimum norm approach search for an exact optimum solution at expense increasing complexity...

ABSTRACT This paper presents an online C compiler designed so that students can program their practical assignments in Programming courses. What is really innovative the self‐assessment of exercises based on black‐box tests and train students’ skill to test software. Moreover, this tool lets instructors, not only proposing classifying exercises, but also evaluating automatically efforts dedicated results obtained by students. The system has been applied 1st‐year at Industrial Engineering...

Abstract In this work, a new multi‐strategy fuzzy control (MSFC) based on fusion techniques for the of multivariable nonlinear systems is proposed. This method mixture different by interpolation using Takagi‐Sugeno model. It combines various strategies to achieve smooth transient responses and zero steady state error. The following are merged within proposed MSFC structure: an optimal feedback that yields response, through incremental model returns error, constant input maintain system...

SUMMARY This paper describes new approaches to improve the local and global approximation (matching) modeling capability of Takagi–Sugeno (T‐S) fuzzy model. The main aim is obtaining high function accuracy fast convergence. problem encountered that T‐S identification method cannot be applied when membership functions are overlapped by pairs. restricts application because this type has been widely used during last 2 decades in stability, controller design systems popular industrial control...

Abstract In this paper, a fuzzy logic controller ( FLC ) based variable structure control VSC is presented. The main objective to obtain an improved performance of highly non‐linear unstable systems. New functions for chattering reduction and error convergence without sacrificing invariant properties are proposed. feature the proposed method that switching function added as additional will be introduced in premise part rules; together with state variables. work, tuning well known weighting...

The navigation of robots has been a subject widespread interest over the last few decades. In previous years, traditional methods based on mathematical equations were used, and there an evolution towards use artificial intelligence. Two which have used in this work: neural networks genetic algorithms. Neural are as machine learning model to teach robot move from any starting point goal, avoiding obstacles along way. However, needs algorithm learn how carry out activity, is what will be for....

In this paper, a new multidimensional Takagi–Sugeno (T-S) identification technique is proposed for multivariable nonlinear systems. technique, membership functions are designed using concepts from solid mechanics. The design of carried out in space, defining the principal axes eigenvectors inertia matrix, and it has characteristic dividing space into regions with same inertia. These analyzed to define center gravity each rule. Illustrative examples systems, such as thermal mixing process...

This paper presents an innovative and cost-effective solution for the absolute localization of mobile robots using ultrasound beacons. The proposed system addresses challenge precise positioning within a controlled environment by employing Differential Time-of-Flight (ToF) measurements to determine relative distances between robot optimally placed Unlike other ToF methods that require synchronization pulses, approach eliminates this requirement, significantly simplifying setup reducing...

In this paper an on line self-tuned PID controller is proposed for the control of a car whose goal to follow another one, at distances and speeds typical in urban traffic. The best-known tuning mechanism perhaps MIT rule, due its ease implementation. However, as it well known, method does not guarantee stability system, providing good results only constant or slowly varying reference signals absence noise, which are unrealistic conditions. When input varies with appreciable rate presence...

In this paper a fuzzy optimal control for stabilizing an upright position double inverted pendulum (DIP) is developed and compared. Modeling based on Euler-Lagrange equations. This results in complicated nonlinear fast reaction, unstable multivariable system. Firstly, the mathematical models of system are presented. The weight variable input gained by combining theory with theory. Simulation show that controller, which upper considered as main variable, has high accuracy, quick convergence...

Having the ability to analyze a system from dynamic point of view can be very useful in many circumstances (industrial systems, biological, economical, . .). The analysis allows understand its behavior and response different inputs, open loop stability, both locally globally, or if it is affected by nonlinear phenomena, such as limit cycles, bifurcations, among others. If unknown complex enough obtain mathematical model, principle would not possible make formal system. In these cases, fuzzy...