Comparison of binary and fuzzy logic in feedback control of dynamic systems

As one of the home services by a mobile manipulator system, we are aiming at the realization of the stand-up motion support for elderly people. This work is charaterized by the use of real-time feedback control based on the information from high speed tactile sensors for detecting the contact force as well as its center of pressure between the assisted human and the robot arm. First, this paper introduces the design of the tactile sensor as well as initial experimental results to show the feasibility of the proposed system. Moreover, several fundamental tactile sensing-based motion controllers necessary for the stand-up motion support and their experimental verification are presented. Finally, an assist trajectory generation method for the stand-up motion support by integrating fuzzy logic with tactile sensing is proposed and demonstrated experimentally.

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ANALISIS RULE INFERENSI FUZZY MAMDANI DALAM MENENTUKAN IPK AKHIR

JURNAL TEKNOLOGI INFORMASI ◽

10.36294/jurti.v1i1.22 ◽

2017 ◽

Vol 1 (1) ◽

pp. 22

Author(s):

Khairul Saleh

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Mathematical Models ◽

Dynamic Systems ◽

Fuzzy Systems ◽

Chaotic Dynamics ◽

Complex Dynamic ◽

Grade Point ◽

Complex Dynamic Systems ◽

Decision Making System

Abstract - In the world of education to achieve the level of success, of course, they have a benchmark for the success of students, one of them is the Grade Point Average (GPA). The purpose of this study is to determine the final GPA so that later it can be used as a reference to predict the success rate of students. The issue of decision-making systems using Fuzzy systems is very suitable for definite reasoning or estimation, especially for systems with strict mathematical models that are difficult to get a definite decision. Fuzzy logic can be used to describe a system of chaotic dynamics, and fuzzy logic can be useful for complex dynamic systems where solutions to common mathematical models cannot work well. The Mamdani method computes efficiently and works well with optimization and adaptive techniques, which makes it very good in control problems, especially for dynamic non-linear systems. Keywords - Cumulative Achievement Index (GPA), fuzzy system, decision making system, mamdani information

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Controlled Positive Dynamic Systems with an Entropy Operator: Fundamentals of the Theory and Applications

Mathematics ◽

10.3390/math9202585 ◽

2021 ◽

Vol 9 (20) ◽

pp. 2585

Author(s):

Yuri S. Popkov

Keyword(s):

Feedback Control ◽

Dynamic Systems ◽

Dynamic Properties ◽

Monotone Operators ◽

Singular Points ◽

Program Control ◽

Linear Feedback ◽

Economic Systems ◽

Linear Feedback Control ◽

Nonzero Equilibrium

Controlled dynamic systems with an entropy operator (DSEO) are considered. Mathematical models of such systems were used to study the dynamic properties in demo-economic systems, the spatiotemporal evolution of traffic flows, recurrent procedures for restoring images from projections, etc. Three problems of the study of DSEO are considered: the existence and uniqueness of singular points and the influence of control on them; stability in “large” of the singular points; and optimization of program control with linear feedback. The theorems of existence, uniqueness, and localization of singular points are proved using the properties of equations with monotone operators and the method of linear majorants of the entropy operator. The theorem on asymptotic stability of the DSEO in “large” is proven using differential inequalities. Methods for the synthesis of quasi-optimal program control and linear feedback control with integral quadratic quality functional, and ensuring the existence of a nonzero equilibrium, were developed. A recursive method for solving the integral equations of the DSEO using the multidimensional functional power series and the multidimensional Laplace transform was developed. The problem of managing regional foreign direct investment is considered, the distribution of flows is modeled by the corresponding DSEO. It is shown that linear feedback control is a more effective tool than program control.

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On the feedback control of impulsive dynamic systems

2008 47th IEEE Conference on Decision and Control ◽

10.1109/cdc.2008.4739429 ◽

2008 ◽

Cited By ~ 6

Author(s):

Sergio Loureiro Fraga ◽

Fernando Lobo Pereira

Keyword(s):

Feedback Control ◽

Dynamic Systems

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DESIGN AND ANALYSIS OF FLC AND FEEDBACK CONTROL FOR THREE FINGER GRIPPER SYSTEM

Jurnal Teknologi ◽

10.11113/jt.v78.9892 ◽

2016 ◽

Vol 78 (10-4) ◽

Author(s):

Nor Anis Aneza Lokman ◽

Hamzah Ahmad ◽

Mohd Razali Daud

Keyword(s):

Fuzzy Logic ◽

Feedback Control ◽

System Performance ◽

Fuzzy Membership ◽

Logic Design ◽

Matlab Simulink ◽

Good Grasp ◽

Research Findings ◽

And Control

This paper presents the fuzzy logic design and control for three finger gripper system to grasp an object. Two objectives are mainly considered in this work, which are the analysis of different membership types and the gripper performance with feedback and without feedback control to support current research findings. The comparison is also including different number of rules analysis as well as the fuzzy membership types. The simulation and analysis are carried by using MATLAB Simulink and SimMechanics toolboxes to analyze the system performance. The result shows that the gripper system with trapezoidal memberships achieved faster response and good grasp. Besides that, the proposed system with feedback has produced the best result to grasp the object with suitable torques and angles in comparison to the non-feedback gripper system.

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