scholarly journals Nabla derivatives associated with nonlinear control systems on homogeneous time scales

2016 ◽  
Vol 21 (4) ◽  
pp. 547-563 ◽  
Author(s):  
Zbigniew Bartosiewicz ◽  
Ülle Kotta ◽  
Tanel Mullari ◽  
Maris Tõnso ◽  
Ewa Pawluszewicz ◽  
...  
Keyword(s):  
Control System ◽  
Vector Field ◽  
Control Systems ◽  
Time Scale ◽  
Vector Fields ◽  
Vector Spaces ◽  
Nonlinear Control Systems ◽  
Arbitrary Vector ◽  
Backward Shift ◽  
Nabla Derivative

The backward shift and nabla derivative operators, defined by the control system on homogeneous time scale, in vector spaces of one-forms and vector fields are introduced and some of their properties are proven. In particular the formulas for components of the backward shift and nabla derivative of an arbitrary vector field are presented.

Neural Networks and Identification of Systems With Unobserved States

1993 ◽  
Vol 115 (1) ◽  
pp. 196-203 ◽  
Author(s):  
C. J. Goh ◽  
Lyle Noakes
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Control System ◽  
Nonlinear Control ◽  
Control Systems ◽  
Output Feedback ◽  
Original System ◽  
Nonlinear Control Systems ◽  
Output Feedback Controller ◽  
Network Emulator

Consider a nonlinear control system, whose structure is not known (apart from the order of the system) and whose states are not observed. We observe the output of the system for a period of time using persistently exciting input, and use the observation to train a neural network emulator whose output approximates that of the original system. We point out that such an explicit dynamical relationship between the input and the output is useful for the purpose of construction of output feedback controller for nonlinear control systems. Specialization of the method to linear systems allows swift convergence and parameter identification in some cases.

scholarly journals Application of quasilinear and CGA models for designing significantly nonlinear control systems

2020 ◽  
Vol 224 ◽  
pp. 01015
Author(s):  
R Neydorf ◽  
A Gaiduk ◽  
N Kudinov ◽  
V Dolgov
Keyword(s):  
Control System ◽  
Nonlinear Control ◽  
Mathematical Models ◽  
Control Systems ◽  
Approximation Method ◽  
Numerical Data ◽  
Nonlinear Control Systems ◽  
Analytical Properties ◽  
Altitude Control

To create control systems, mathematical models of objects are required, which often have to be obtained experimentally. In this case, the numerical data of experiments on the identification of essentially nonlinear objects can be satisfactorily approximated only in certain areas, which leads to fragmentary models that are not analytical. In these cases, when only fragmentary models are adequate, it is proposed to apply the new Cut-Glue approximation method, which allows obtaining a model with analytical properties. The proposed approach to the unification of the Cut-Glue approximation method is demonstrated by solving the problem of synthesizing a nonlinear airship altitude control system and studying it.

A Systematic Approach for Developing Nonlinear Control Systems With Fuzzy Logic

2003 ◽  
Author(s):  
Dean B. Edwards ◽  
Joseph J. Feeley ◽  
Akira Okamoto
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Nonlinear Control ◽  
Control Systems ◽  
Fuzzy Logic Control ◽  
Linear Control ◽  
Superior Performance ◽  
Nonlinear Control Systems ◽  
System A ◽  
Logic Control

In this paper we present a method for systematically developing nonlinear control systems that provide superior performance to conventional linear control systems. The approach uses the results of linear analysis as a starting point for designing and optimizing a nonlinear control system. A linear equivalent fuzzy logic control system is constructed to give the same performance as the “best” linear control system. The fuzzy logic control system is subsequently modified to improve performance by making an optimal nonlinear system. The method is illustrated by designing a nonlinear fuzzy logic control system for a headbox used for papermaking. A discrete linear quadratic regulator (DLQR) is first designed for this system. A nonlinear fuzzy logic control system is subsequently developed from the DLQR controller. The performance of these two control systems is then compared.

scholarly journals On the Continuity Properties of the Attainable Sets of Nonlinear Control Systems with Integral Constraint on Controls

2008 ◽  
Vol 2008 ◽  
pp. 1-14 ◽  
Author(s):  
Khalik G. Guseinov ◽  
Ali S. Nazlipinar
Keyword(s):  
Control System ◽  
Nonlinear Control ◽  
Control Systems ◽  
Initial Conditions ◽  
Closed Ball ◽  
Nonlinear Control Systems ◽  
Integral Constraint ◽  
Attainable Sets ◽  
Control Functions ◽  
Continuity Properties

The attainable sets of the nonlinear control systems with integral constraint on the control functions are considered. It is assumed that the behavior of control system is described by differential equation which is nonlinear with respect to phase-state vector and control vector. The admissible control functions are chosen from the closed ball centered at the origin with radiusμ0inLp([t0,θ];ℝm) (p∈(1,+∞)). Precompactness of the solutions set is specified, and dependence of the attainable sets on the initial conditions and on the parameters of the control system is studied.

Pengaruh Sistem Pengendalian Internal Pemerintah dan Kompetensi Pegawai Terhadap Kinerja Instansi Pemerintah Kabupaten Karimun

2020 ◽  
Vol 5 (1) ◽  
pp. 101-106
Author(s):  
Doni Putra Utama
Keyword(s):  
Control System ◽  
Control Systems ◽  
Internal Control ◽  
Statistical Tests ◽  
Government Agencies ◽  
Government Performance ◽  
Significant Positive Effect ◽  
Internal Control System ◽  
Employee Competencies ◽  
Positive Effect

This research is a causality study with the title "Effect of Government Internal Control Systems and Employee Competence on the Performance of Government Agencies in Karimun Regency." The purpose of this study was to determine the effect of the implementation of the Government's Internal Control System on the performance of Karimun Regency government agencies and to determine the effect of employee competence on the performance of Karimun Regency government agencies. Data collection using a questionnaire where the questionnaire contained questions about the Government's Internal Control System, employee competencies and agency performance. Data were tested using multiple linear regression statistical tests. Based on the results of the study, it can be concluded that the governmental internal control system has a significant positive effect on Government Agency Performance with the results of statistical tests that show a sig value of 0.016 <0.05 (alpha 5%). Employee Competency has a significant positive effect on Government Performance with the results of statistical tests showing a sig value of 0,000.

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