Determination of the Overshoot Scalar Control Systems with Transfer Zero and Binomial Law of Poles Distribution

Authors review methods of determining a plant’s mathematical model. Then, they show a numerical method of pulse automatic control systems’ (ACS) identification, focused on computer technology, the interpolation procedure and iterative methods of approximation to the desired solution. The basis of the approach is the method of inverse problems of dynamics and real interpolation method for calculating the linearized dynamical systems. An algorithm and the mobile device designed for the identification of facilities management in operational conditions are proposed. There is results’ application in the conclusion.

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Statistical Safe Braking Analysis

2011 Joint Rail Conference ◽

10.1115/jrc2011-56079 ◽

2011 ◽

Cited By ~ 2

Author(s):

David F. Thurston

Keyword(s):

Control Systems ◽

System Capacity ◽

Worst Case ◽

Stopping Distance ◽

Train Control ◽

Classic Theory ◽

Braking Distance ◽

Prime Determinant ◽

Worst Case Approach

The main objective in optimizing train control is to eliminate the waist associated with classical design where train separation is determined through the use of “worst case” assumptions that are invariant to the system. In fact, the worst case approach has been in place since the beginning of train control systems. Worst case takes the most conservative approach to the determination of train stopping distance, which is the basis for design of virtually all train control. This leads to stopping distances that could be far more that actually required under the circumstances at the time the train is attempting to brake. Modern train control systems are designed to separate trains in order to provide safety of operation while increasing throughput. Calculations for the minimum distance that separates trains have traditionally been based on the sum of a series of worst case scenarios. The implication was that no train could ever exceed this distance in stopping. This distance is called Safe Braking Distance (SBD). SBD has always been calculated by static parameters that were assumed to be invariant. This is, however, not the case. Parameters such as adhesion, acceleration, weight, and reaction vary over time, location or velocity. Since the worst case is always used in the calculation, inefficiencies result in this methodology which causes degradation in capacity and throughput. This is also true when mixed traffic with different stopping characteristics are present at the same time. The classic theory in train control utilizes a SBD model to describe the characteristics of a stopping train. Since knowledge of these conditions is not known, poor conditions are assumed. A new concept in train control utilizes statistical analysis and estimation to provide knowledge of the conditions. Trains operating along the line utilize these techniques to understand inputs into their SBD calculation. This provides for a SBD calculation on board the train that is the shortest possible that maintains the required level of safety. The new SBD is a prime determinant in systems capacity. Therefore by optimizing SBD as describes, system capacity is also optimized. The system continuously adjusts to changing conditions.

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Robotic grasping with obstacle avoidance using octrees

Artificial Intelligence ◽

10.15407/jai2020.03.007 ◽

2020 ◽

Vol 25 (3) ◽

pp. 7-12

Author(s):

Rud V.V. ◽

Keyword(s):

Control Systems ◽

Current Problem ◽

Robot Manipulator ◽

General Purpose ◽

Advantages And Disadvantages ◽

Specific Position ◽

Recognition Of Objects ◽

Manipulator Control ◽

A Current

This paper considers the problems of the integration of independent manipulator control systems. Areas of control of the manipulator are: recognition of objects and obstacles, identification of objects to be grasped, determination of reliable positions by the grasping device, planning of movement of the manipulator to certain positions with avoidance of obstacles, and recognition of slipping or determination of reliable grasping. This issue is a current problem primarily in industry, general-purpose robots, and experimental robots. This paper considers current publications that address these issues. Existing algorithms and approaches have been found in the management of both parts of the robot manipulator and solutions that combine several areas, or the integration of several existing approaches. There is a brief review of current literature and publications on the above algorithms and approaches. The advantages and disadvantages of the considered methods and approaches are determined. There are solutions that cover either some areas or only one of them, which does not meet the requirements of the problem. Using existing approaches, integration points of existing implementations are identified to get the best results. In the process, a system was developed that analyzes the environment, finds obstacles, objects for interaction, poses for grasping, plans the movement of the manipulator to a specific position, and ensures reliable grasping of the object. The next step was to test the system, test the performance, and adjust the parameters for the best results. The resulting system was developed by the research team of RT-Lions, Technik University, Reutlingen. The hardware research robot includes an Intel Realsense camera, a Sawyer Arm manipulator from Rethink Robotics, and an internally grabbing device.

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Analytical determination of cars CO2 emissions with different types of climate control systems

10.1063/5.0068364 ◽

2021 ◽

Author(s):

Georgi Kadikyanov ◽

Zhivko Kolev ◽

Seher Kadirova ◽

Gergana Staneva ◽

Daniel Lyubenov

Keyword(s):

Control Systems ◽

Co2 Emissions ◽

Analytical Determination ◽

Climate Control ◽

Different Types

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Determination of stability delay margins for multi-area load frequency control systems with incommensurate time delays through eigenvalue tracing method

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107821 ◽

2022 ◽

Vol 137 ◽

pp. 107821

Author(s):

Ömer Aydın ◽

Şahin Sönmez ◽

Saffet Ayasun

Keyword(s):

Control Systems ◽

Time Delays ◽

Frequency Control ◽

Load Frequency Control ◽

Load Frequency ◽

Tracing Method

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Determination of the energy saving by daylight responsive lighting control systems with an example from Istanbul

Building and Environment ◽

10.1016/s0360-1323(03)00034-9 ◽

2003 ◽

Vol 38 (7) ◽

pp. 973-977 ◽

Cited By ~ 56

Author(s):

Sermin Onaygıl ◽

Önder Güler

Keyword(s):

Energy Saving ◽

Control Systems ◽

Lighting Control

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On Uniqueness of Filippov’s Solutions for Non-Smooth Systems Having Multiple Discontinuity Surfaces With Applications to Control Engineering

Dynamic Systems and Control, Parts A and B ◽

10.1115/imece2004-59824 ◽

2004 ◽

Author(s):

Qiong Wu ◽

Hairong Zeng ◽

Nariman Sepehri

Keyword(s):

Control System ◽

State Space ◽

Control Systems ◽

Convex Sets ◽

Discontinuity Surface ◽

Control Engineering ◽

Smooth Control ◽

Discontinuity Surfaces ◽

Uniqueness Of The Solution

The analysis of the uniqueness of Filippov’s solutions to non-smooth control systems is important before the solutions can be sought. Such an analysis is extremely challenging when the discontinuity surface is the intersecting discontinuity surfaces. The key step is to study the intersections of the convex sets from Filippov’s inclusions and the sets containing vectors tangent to the discontinuity surfaces. Due to the fact that all the elements of these sets are functions of the states and time and their numerical values can not be obtained before the uniqueness of the solution is analyzed, the determination of such intersections, symbolically, is extremely difficult. In this paper, we propose to firstly transform the control system to a new state space where the discontinuity surfaces can be written in special forms. Secondly, we expand the sets associated with Filippov’s inclusion such that the determinations of the intersections become feasible. Two examples of practical non-smooth control systems are presented to demonstrate the efficacy of the method.

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Pengaruh Integritas dan Moralitas Individu pada Kecurangan Akuntansi dengan Sistem Pengendalian Internal sebagai Variabel Mediasi

E-Jurnal Akuntansi ◽

10.24843/eja.2020.v30.i09.p10 ◽

2020 ◽

Vol 30 (9) ◽

pp. 2296

Author(s):

I Kadek Yogi Anggara ◽

Herkulanus Bambang Suprasto

Keyword(s):

Control System ◽

Control Systems ◽

Internal Control ◽

Accounting Fraud ◽

Regional Organizations ◽

Purposive Sampling ◽

Internal Control System ◽

Negative Effect ◽

Positive Effect

This study aims to determine the effect of integrity and morality of individuals on accounting fraud with internal control systems as a mediating variable. The population in this study are 37 Regional Organizations in Badung. Determination of the sample using purposive sampling with 74 respondents. The results showed that individual integrity and morality had a negative effect on accounting fraud, integrity and morality of individuals had a positive effect on the internal control system and the internal control system had a negative effect on accounting fraud. Internal control system partially mediates the negative effect of Integrity on accounting fraud. Internal control system does not mediate the negative effect of Individual Morality on Accounting Fraud. The results are expected to be able to provide insight for relevant parties to pay more attention to internal control systems because they can influence mediating integrity against accounting fraud. Keywords: Cheating; Aaccounting Fraud; Regional Organizations.

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