An Artificial Intelligence Approach to Real Time control of carbonization

1988 ◽  
Vol 117 ◽  
Author(s):  
William J. Pardee ◽  
Kwang Chung ◽  
Ming Shong Lan
Keyword(s):  
Real Time ◽  
Material Properties ◽  
Expert Knowledge ◽  
A Priori ◽  
Gas Analysis ◽  
Real Time Control ◽  
Time Model ◽  
Time Control ◽  
Physical Changes ◽  
Physical And Chemical

Carbonization of carbon-carbon composites is presently a slow, costly process. The failure rate and the variation in final material properties are both excessive. The complex physical and chemical changes require new control methods. Real time sensing of material properties can, in combination with a priori expert knowledge, be used to improve real time model estimates of process outcome and to revise the process. The basic elements of the control strategy for real time control of carbonization based on thermal, acoustic, conductivity, and gas chemistry sensors are described. Preliminary results relate real time gas analysis to physical changes.

scholarly journals Sensing and mapping for interactive performance

2002 ◽  
Vol 7 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Kia Ng
Keyword(s):  
Real Time ◽  
Interactive Multimedia ◽  
Real Time Control ◽  
Time Control ◽  
System A ◽  
Domain Mapping ◽  
Virtual And Augmented Reality ◽  
Definition Of ◽  
Multimedia Performance ◽  
Physical Changes

This paper describes a trans-domain mapping (TDM) framework for translating meaningful activities from one creative domain onto another. The multi-disciplinary framework is designed to facilitate an intuitive and non-intrusive interactive multimedia performance interface that offers the users or performers real-time control of multimedia events using their physical movements. It is intended to be a highly dynamic real-time performance tool, sensing and tracking activities and changes, in order to provide interactive multimedia performances.From a straightforward definition of the TDM framework, this paper reports several implementations and multi-disciplinary collaborative projects using the proposed framework, including a motion and colour-sensitive system, a sensor-based system for triggering musical events, and a distributed multimedia server for audio mapping of a real-time face tracker, and discusses different aspects of mapping strategies in their context.Plausible future directions, developments and exploration with the proposed framework, including stage augmenta tion, virtual and augmented reality, which involve sensing and mapping of physical and non-physical changes onto multimedia control events, are discussed.

A Java software agent framework for hard real-time manufacturing control

2017 ◽  
Vol 65 (11) ◽  
Author(s):  
Sebastian Theiss ◽  
Klaus Kabitzsch
Keyword(s):  
Real Time ◽  
Domain Knowledge ◽  
Real Time Control ◽  
Time Model ◽  
Time Control ◽  
Future Challenges ◽  
Analytical Response ◽  
Communication Flow ◽  
Hard Real Time ◽  
Robust Control Systems

AbstractMultiagent systems (MAS) have widely been recognized as a suitable software engineering approach to design distributed, flexible, and robust control-systems, as are needed to cope with current and future challenges in manufacturing. Yet, applying MAS for real-time control has been subject to several concessions so far. This paper presents a real-time Java multiagent platform, which allows both agent execution and distributed interaction under hard real-time conditions. The paper covers the architecture and implementation of such a platform, the integration of a domain knowledge model into the communication flow, and finally an analytical response time model including interactions, to actually proove the real-time capability of a distributed MAS.

scholarly journals Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms

2019 ◽  
Vol 22 (2) ◽  
pp. 281-295 ◽  
Author(s):  
S. R. Mounce ◽  
W. Shepherd ◽  
S. Ostojin ◽  
M. Abdel-Aal ◽  
A. N. A. Schellart ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Algorithm ◽  
Expert Knowledge ◽  
Economic Losses ◽  
Rainfall Time Series ◽  
Real Time Control ◽  
Spare Capacity ◽  
Time Control ◽  
Drainage Networks

Abstract Urban flooding damages properties, causes economic losses and can seriously threaten public health. An innovative, fuzzy logic (FL)-based, local autonomous real-time control (RTC) approach for mitigating this hazard utilising the existing spare capacity in urban drainage networks has been developed. The default parameters for the control algorithm, which uses water level-based data, were derived based on domain expert knowledge and optimised by linking the control algorithm programmatically to a hydrodynamic sewer network model. This paper describes a novel genetic algorithm (GA) optimisation of the FL membership functions (MFs) for the developed control algorithm. In order to provide the GA with strong training and test scenarios, the compiled rainfall time series based on recorded rainfall and incorporating multiple events were used in the optimisation. Both decimal and integer GA optimisations were carried out. The integer optimisation was shown to perform better on unseen events than the decimal version with considerably reduced computational run time. The optimised FL MFs result in an average 25% decrease in the flood volume compared to those selected by experts for unseen rainfall events. This distributed, autonomous control using GA optimisation offers significant benefits over traditional RTC approaches for flood risk management.

An Efficient Static Analysis of Continuum Robots

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Shahir Hasanzadeh ◽  
Farrokh Janabi-Sharifi
Keyword(s):  
Real Time ◽  
Recursive Algorithm ◽  
A Priori ◽  
Real Time Control ◽  
Equilibrium Equations ◽  
Backbone Curve ◽  
Time Control ◽  
Continuum Robot ◽  
Main Component ◽  
The Continuum

An efficient yet accurate model of the continuum robot is the main component for its real-time control, simulation as well as localization. Previous models of the continuum robot, based on rod theory, suffer from high computational burden. The models also require a priori knowledge of the robot environment. This paper presents an efficient static model for the planar continuum robot that experiences external forces at the tip as a result of contact with its surroundings (measured by the built-in force sensors), thus no a priori information about the environment is required. The typical example of such robots is steerable catheters used in medical operations. The proposed approach involves discretizing the robot backbone curve to elastic arc elements. After deriving the equilibrium equations for the infinitesimal elements, a recursive algorithm with the time complexity of O(n) is proposed for realizing the shape of the robot as a result of the external force. Accuracy of the proposed method is evaluated both theoretically and experimentally for a case study, i.e., an intracardiac ablation catheter. Results validate the accuracy and time-efficiency of the proposed approach for real-time applications.

Soft-Computing-Based Real-Time Control of Two Wheel Mobile Robot (TWMR)

2021 ◽  
pp. 434-449
Author(s):  
Ashwani Kharola ◽  
Suyashi Raiwani ◽  
Shristi Kharola
Keyword(s):  
Mathematical Model ◽  
Mobile Robot ◽  
Real Time ◽  
Soft Computing ◽  
Fuzzy Logic Controller ◽  
Second Law ◽  
Real Time Control ◽  
Time Model ◽  
Time Control ◽  
Soft Computing Techniques

This chapter considers various soft-computing techniques for control of self-balancing two wheel mobile robot (TWMR). Initially, a mathematical model of the system was developed using Newton's second law. Thereafter, a simulink of the proposed system was developed in Matlab Simulink environment. Two different controllers, namely fuzzy logic controller and ANFIS controller, were used for control of proposed system. Finally, a real-time model of TWMR was designed which was controlled using Arduino Uno microcontroller, and its results were used for training of ANFIS controller.

scholarly journals Real time control of the sewer system of boulogne billancourt - a contribution to improving the water quality of the seine

1998 ◽  
Vol 37 (1) ◽  
pp. 327-332 ◽  
Author(s):  
Stéphane Entem ◽  
Antoine Lahoud ◽  
Lars Yde ◽  
Bo Bendsen
Keyword(s):  
Real Time ◽  
Real Time Control ◽  
Sewer System ◽  
Time Model ◽  
The Real ◽  
Radar Images ◽  
Time Control ◽  
River Seine ◽  
On Line ◽  
Study Zone

Confronted with the problem of overflows from its combined sewer system into the River Seine during rainfall, the Department of the Hauts de Seine (which covers some thirty urban districts on the west side of Paris) has decided to implement the real time control of its sewer system. To initiate this plan, as the town of Boulogne Billancourt seemed to be a particularly favourable site for the use of such techniques, a project to control its sewer system in real time has been implemented within the scope of the SPRINT 226 programme financed by the European Community. The preliminary studies, based on a MOUSE computer model of the sewer system, showed that the real time control of the sewer network under study had a high potential benefit, since it would allow an 80% reduction of the volumes of waste water discharged into the Seine annually in the study zone. Following on from these encouraging results, the installation of a complete real time control system was set in hand. The system, at present undergoing testing and evaluation, consists principally of a MOUSE ON LINE real time model and a system for forecasting rainfall by means of radar images.

Distributed Approach to Real-Time Control of Complex Signalized Networks

1996 ◽  
Vol 1554 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Sam Yagar ◽  
François Dion
Keyword(s):  
Real Time ◽  
Optimization Technique ◽  
Fixed Time ◽  
Urban Traffic ◽  
Distributed Model ◽  
Real Time Control ◽  
Time Model ◽  
Good Opportunity ◽  
Time Control ◽  
Demand Fluctuations

Urban traffic characteristics are examined along with the various available current approaches to controlling traffic efficiently at signalized intersections. Fixed-time, central, and distributed real-time control approaches are considered. It is determined that the best method of control varies with network and flow conditions. It is concluded that for smooth traffic and uncomplicated networks that provide good opportunity for progression, a centralized quasi-real-time model such as the split, cycle, and offset optimization technique (SCOOT) is appropriate. However, when faced with significant demand fluctuations or interference from transit or emergency vehicles, a distributed real-time model will be required. The paper recommends use of a fully distributed model to deal with such conditions, at least for the foreseeable future until appropriate hierarchical models can be developed.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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