Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls

2014 ◽  
Vol 602-605 ◽  
pp. 937-941
Author(s):  
Hua Tao ◽  
Li Wei Zhu
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Control Systems ◽  
Travel Time ◽  
Traffic Safety ◽  
Optimal Solution ◽  
Speed Control ◽  
Intelligent Transportation ◽  
Evolution Process ◽  
Novel Technique

Previously, intelligent transportation control systems have been widely used to improve traffic safety on roadways. Among them, dynamic speed control is a novel technique that has been increasingly used for reducing collision risks. However, previous studies did not consider using any heuristic searching algorithm to obtain the optimal solution to improve traffic safety. The objective of this study is to evaluate the application of using heuristic searching algorithm to optimize the safety effects of dynamic speed control system. The results showed that the evolution process in the heuristic searching algorithm can promote the strategy towards better solutions for the optimization of the safety effects of dynamic speed control. The optimal control reduces collision risks by 12.7% and increased travel time only by 1.4%.

Study of Controllability of Bilinear Systems with Limited Control

2021 ◽  
Vol 26 (3-4) ◽  
pp. 302-313
Author(s):  
L.G. Gagarina ◽  
◽  
A.A. Doronina ◽  
R.A. Fomin ◽  
D.A. Chukhlyaev ◽  
...  
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Control Systems ◽  
Control Program ◽  
Bilinear System ◽  
Equation System ◽  
Bilinear Systems ◽  
Complete Controllability ◽  
Complex Objects ◽  
Bilinear Control

Optimal control is closely related to the choice of the most advantageous control modes for complex objects, which are described using ordinary differential systems. The problem of optimal control consists in calculating the optimal control program and synthesizing the optimal control system. This problem arises in the applied field of the optimal control theory, in the case when control is based on the principle of feedback and in automatic control systems. Optimal control problems, as a rule, are calculated by numerical methods to find the extremum of a functional or to solve a boundary value problem for a differential equation system. From a mathematical standpoint, the synthesis of optimal control systems is a nonlinear programming problem in functional spaces. In this study the problem of complete controllability of a bilinear control system on the plane was considered. The controllability of bilinear systems with both unlimited and limited control was studied. The evidences of closed trajectory systems controllability theorems were produced. The authors have defined multiple criteria of complete controllability for bilinear system with limited control. The complete controllability conditions of bilinear control system have been proposed with their algebraic reasoning. In the contemporary context of universal robotization of production, completely controllable systems matter in navigation, as well as in modeling of a number of economic and social processes.

scholarly journals Implementasi Fasilitas Intelligent Transportation System (ITS) Di Kota Palangka Raya

2020 ◽  
Vol 8 (2) ◽  
pp. 72-78
Author(s):  
Devia Devia ◽  
Prihanika Prihanika
Keyword(s):  
Control System ◽  
Traffic Safety ◽  
Traffic Control ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Travel Speed ◽  
Transportation System ◽  
Transportation Systems ◽  
Traffic Control System ◽  
The City

The movement of people and goods is increasing in line with economic growth in society. This causes the potential for increased transportation activities in the City of Palangka Raya so it needs efforts to improve adequate transportation facilities and infrastructure. The application of technology-based Intelligent Transportation System (ITS) in Palangka Raya City is needed so that the management of the transportation system becomes more effective and efficient. This paper provides an overview of the application of ITS facilities and types in Palangka Raya City and provides recommendations for the use of new ITS facilities or optimizing existing technology so that ITS facilities can be utilized by stakeholders in traffic management and transportation systems in Palangka Raya City. Based on observations of the application of ITS in the City of Palangka Raya is applied to improve the performance of intersections and road services. The type of ITS facility is the Area Traffic Control System (ATCS), which is a vehicle traffic control system at the signal intersection to increase travel speed and travel time so that delays in travel can be minimized. It is also expected that the implementation of ITS in Palangkaraya City can also optimize the performance of public transport and traffic safety as well as the collaboration between stakeholders so that the improvement of the integrated transportation system can be well integrated.

Optimisation of an Amplidyne Speed Control System

1976 ◽  
Vol 9 (12) ◽  
pp. 463-466
Author(s):  
A. Rashwan ◽  
H. Attia
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Steady State ◽  
Feedforward Control ◽  
Speed Control ◽  
The State ◽  
Time Integral ◽  
Load Disturbance ◽  
Speed Error ◽  
Integral Feedback

The optimal-linear-regulator theory is used to optimise an amplidyne speed control system subjected to a constant load disturbance. As such a regulatory system tends to a steady state in response to a step disturbance. To be able to use a quadratic performance index as an optimisation criterion, three different techniques of variable transformation which moved the steady state to the origin of co-ordinates were employed. The first modification technique yielded an optimal control proportional to the state and to the load disturbance, ie, Feedforward Control. The second method led to an optimal control proportional to the state and the time-integral of the speed error, ie, Integral Feedback Control, while the third resulted in an optimal control proportional to the state and to both the load disturbance and to the time-integral of the speed error. This third control may be described as Integral Feedback/Feedforward Control. The transient responses of the system in the three cases to a step load disturbance were calculated, and the Integral Feedback/Feedforward Control gave the best results.

scholarly journals The Optimization of Solutions of the Dynamic Systems with Random Structure

2011 ◽  
Vol 2011 ◽  
pp. 1-18 ◽  
Author(s):  
Miroslava Růžičková ◽  
Irada Dzhalladova
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Random Process ◽  
Control Systems ◽  
Dynamic Systems ◽  
Lyapunov Functions ◽  
Necessary Conditions ◽  
Random Structure ◽  
Random Transformation ◽  
Linear Differential

The paper deals with the class of jump control systems with semi-Markov coefficients. The control system is described as the system of linear differential equations. Every jump of the random process implies the random transformation of solutions of the considered system. Relations determining the optimal control to minimize the functional are derived using Lyapunov functions. Necessary conditions of optimization which enables the synthesis of the optimal control are established as well.

Petri Net-Based Modeling and Verification of Automatic Train Speed Control System

2014 ◽  
Vol 571-572 ◽  
pp. 395-399 ◽  
Author(s):  
Rong Hua ◽  
You Fu ◽  
Jian Zhi Yu ◽  
Cong Liu
Keyword(s):  
Control System ◽  
Petri Nets ◽  
Control Systems ◽  
Petri Net ◽  
Formal Model ◽  
Speed Control ◽  
Train Control ◽  
Train Control System ◽  
Speed Control System ◽  
Train Speed

How to provide dependability based on safety is a challenge faced by train control system. Formal approaches are important for modeling and verification of automatic speed control Systems. In the paper, a formal model of automatic speed control Systems based on Petri nets (ASCS-nets) is presented. And the transformation approaches from automatic train speed control system to ASCS-nets are given. Correctness verification of automatic train speed control system is implemented based on ASCS-nets model.

Analysis and control of differential inclusions with anti-periodic conditions

2014 ◽  
Vol 144 (3) ◽  
pp. 591-602 ◽  
Author(s):  
Z. H. Liu ◽  
S. Migórski
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Optimal Control Problem ◽  
Control Systems ◽  
Differential Inclusions ◽  
Existence Of Solutions ◽  
Topological Properties ◽  
Control Pair ◽  
Control Variables ◽  
And Control

We deal with the optimal control of systems driven by differential inclusions with anti-periodic conditions in Banach spaces. The operators in the differential inclusions, describing the control system, all depend on control variables. By a solution of the control system we mean a ‘trajectory-control’ pair. We first prove that, for fixed control variables, the set of solutions is non-empty for the corresponding differential inclusion with anti-periodic conditions. We then show the functional-topological properties of the set of solutions. Finally, we investigate the existence of solutions to the optimal control problem. These abstract results can be used to study optimal control systems of evolutionary hemi-variational inequalities.

scholarly journals Pallet Recognition with Multi-Task Learning for Automated Guided Vehicles

2021 ◽  
Vol 11 (24) ◽  
pp. 11808
Author(s):  
Chunghyup Mok ◽  
Insung Baek ◽  
Yoonsang Cho ◽  
Younghoon Kim ◽  
Seoungbum Kim
Keyword(s):  
Deep Learning ◽  
Control System ◽  
Control Systems ◽  
Travel Time ◽  
Manufacturing Systems ◽  
Automated Guided Vehicles ◽  
Vision Sensor ◽  
Single Task ◽  
Laser Sensors ◽  
Proposed Model

As the need for efficient warehouse logistics has increased in manufacturing systems, the use of automated guided vehicles (AGVs) has also increased to reduce travel time. The AGVs are controlled by a system using laser sensors or floor-embedded wires to transport pallets and their loads. Because such control systems have only predefined palletizing strategies, AGVs may fail to engage incorrectly positioned pallets. In this study, we consider a vision sensor-based method to address this shortcoming by recognizing a pallet’s position. We propose a multi-task deep learning architecture that simultaneously predicts distances and rotation based on images obtained from a visionary sensor. These predictions complement each other in learning, allowing a multi-task model to learn and execute tasks impossible with single-task models. The proposed model can accurately predict the rotation and displacement of the pallets to derive information necessary for the control system. This information can be used to optimize a palletizing strategy. The superiority of the proposed model was verified by an experiment on images of stored pallets that were collected from a visionary sensor attached to an AGV.

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