AGENTS for cooperating expert systems in concurrent engineering design

1993 ◽  
Vol 7 (3) ◽  
pp. 145-158 ◽  
Author(s):  
Guo Q. Huang ◽  
John A. Brandon
Keyword(s):  
Expert Systems ◽  
Engineering Design ◽  
Concurrent Engineering ◽  
General Purpose ◽  
Main Theme ◽  
Computer Tools ◽  
System A ◽  
And Control ◽  
Domain Independent

A main theme of concurrent engineering is the effective communication between relevant disciplines. Any computer tools for concurrent engineering must provide sufficient constructs and strategies for this purpose. This paper describes the AGENTS system, a domain-independent general-purpose Object-Oriented Prolog language for cooperating expert systems in concurrent engineering design. Emphasis is placed on demonstrating the use of the AGENTS constructs for distributed knowledge representation and the cooperation strategies for communication, collaboration, conflict resolution, and control. A simple case study is presented to illustrate the balance between simplicity and flexibility.

scholarly journals Sampling-based methods for factored task and motion planning

2018 ◽  
Vol 37 (13-14) ◽  
pp. 1796-1825 ◽  
Author(s):  
Caelan Reed Garrett ◽  
Tomás Lozano-Pérez ◽  
Leslie Pack Kaelbling
Keyword(s):  
Motion Planning ◽  
General Purpose ◽  
State Transitions ◽  
Transition Systems ◽  
Hybrid State ◽  
Time Planning ◽  
And Control ◽  
Planning Problems ◽  
Domain Independent

This paper presents a general-purpose formulation of a large class of discrete-time planning problems, with hybrid state and control-spaces, as factored transition systems. Factoring allows state transitions to be described as the intersection of several constraints each affecting a subset of the state and control variables. Robotic manipulation problems with many movable objects involve constraints that only affect several variables at a time and therefore exhibit large amounts of factoring. We develop a theoretical framework for solving factored transition systems with sampling-based algorithms. The framework characterizes conditions on the submanifold in which solutions lie, leading to a characterization of robust feasibility that incorporates dimensionality-reducing constraints. It then connects those conditions to corresponding conditional samplers that can be composed to produce values on this submanifold. We present two domain-independent, probabilistically complete planning algorithms that take, as input, a set of conditional samplers. We demonstrate the empirical efficiency of these algorithms on a set of challenging task and motion planning problems involving picking, placing, and pushing.

NARX-Based Short-Term Forecasting of Water Flow Rate of a Photovoltaic Pumping System: A Case Study

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Sofiane Haddad ◽  
Adel Mellit ◽  
Mohamed Benghanem ◽  
Khalid Osman Daffallah
Keyword(s):  
Water Flow ◽  
Flow Rate ◽  
Water Flow Rate ◽  
Pumping System ◽  
System A ◽  
Water Pumping ◽  
Short Term Forecasting ◽  
And Control ◽  
Nonlinear Autoregressive

Hourly water flow rate (HWFR) forecasting is very important to photovoltaic water pumping system (PVWPS) planning, operation, and control. In this paper, a nonlinear autoregressive with exogenous input-recurrent neural network (NARX-RNN) is investigated for the prediction of water flow rate (WFR) using experimental data collected from a PVWPS installed at Madinah site (Saudi Arabia). Results showed that the developed NARX-based model is able to reach acceptable accuracy for 1–12 hrs (next-day) ahead predictions. The developed methodology provides valuable information to PVWPS operators for controlling the production, storage, and delivery of water.

ACCESSING DATA MINING RULES THROUGH EXPERT SYSTEMS

2002 ◽  
Vol 01 (04) ◽  
pp. 657-672 ◽  
Author(s):  
BASILIS BOUTSINAS
Keyword(s):  
Data Mining ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Discovery ◽  
Domain Knowledge ◽  
Research Area ◽  
General Purpose ◽  
Related Data ◽  
Different Types

Data mining is an emerging research area that develops techniques for knowledge discovery in huge volumes of data. Usually, data mining rules can be used either to classify data into predefined classes, or to partition a set of patterns into disjoint and homogeneous clusters, or to reveal frequent dependencies among data. The discovery of data mining rules would not be very useful unless there are mechanisms to help analysts access them in a meaningful way. Actually, documenting and reporting the extracted knowledge is of considerable importance for the successful application of data mining in practice. In this paper, we propose a methodology for accessing data mining rules, which is based on using an expert system. We present how the different types of data mining rules can be transformed into the domain knowledge of any general-purpose expert system. Then, we present how certain attribute values given by the user as facts and/or goals can determine, through a forward and/or backward chaining, the related data mining rules. In this paper, we also present a case study that demonstrates the applicability of the proposed methodology.

scholarly journals Research on the Optimization Design of Solar Energy-Gas-Fired Boiler Systems for Decentralized Heating

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3195
Author(s):  
Ming Tao ◽  
Yanzhe Yu ◽  
Huan Zhang ◽  
Tianzhen Ye ◽  
Shijun You ◽  
...  
Keyword(s):  
Solar Energy ◽  
Optimization Design ◽  
Control Strategies ◽  
Energy System ◽  
Operating Conditions ◽  
Heating Systems ◽  
Hybrid Energy ◽  
System A ◽  
And Control

Solar energy-gas-fired boiler heating systems attract widespread attention due to their eco-friendly technologies and reasonable prices. In order to promote the application of a solar energy-gas-fired boiler system for decentralized heating, this study proposed a holistic method to optimize the combination of equipment specifications and control strategies of the system. A detailed mathematical model of the hybrid energy system was developed and validated by experiments to simulate various operating conditions and evaluate the optimal design results. A case study was conducted in Tianjin, China, and optimal schemes were obtained. The influence of different factors on the system’s annual comprehensive energy efficiency ratio (AEER) and annual cost (AC) were studied by sensitivity analysis; the results showed that the solar collector area was extremely valuable for the optimization of AEER and AC. The results of this study provide a reference for the optimization design of the solar energy-gas-fired boiler system, which is beneficial to the promotion of the utilization of solar energy.

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