Contract-Based Design for Computation and Verification of a Closed-Loop Hybrid System

2008 ◽  
pp. 58-71 ◽  
Author(s):  
L. Benvenuti ◽  
A. Ferrari ◽  
E. Mazzi ◽  
A. L. Sangiovanni Vincentelli
Keyword(s):  
Hybrid System ◽  
Closed Loop

The Uncertain Programming of the Closed-Loop Supply Chain with Remanufacturing System

2012 ◽  
Vol 190-191 ◽  
pp. 218-221 ◽  
Author(s):  
Yu Juan Chen ◽  
Dong Bo Liu ◽  
Hong Wei Mao ◽  
Zi Qiang Zhang
Keyword(s):  
Supply Chain ◽  
Hybrid System ◽  
Closed Loop ◽  
Programming Model ◽  
Uncertain Programming ◽  
Fuzzy Simulation ◽  
Closed Loop Supply Chain ◽  
Proposed Model ◽  
Uncertain Model ◽  
Intelligent Optimization Algorithm

This paper addresses an integrated uncertain programming model for a closed-loop supply chain with manufacturing/remanufacturing hybrid system. The hybrid system is studied under the grey fuzzy uncertainty and grey uncertainty. The hybrid intelligent optimization algorithm integrating the grey fuzzy simulation, neural network and genetic algorithm can optimize the uncertain model. One numerical example is given to illustrate the effectiveness of the proposed model and algorithm.

PREDICTIVE TRACES IN HYBRID SYSTEMS

2005 ◽  
Vol 15 (02) ◽  
pp. 289-298
Author(s):  
MARTIN v. MOHRENSCHILDT
Keyword(s):  
Control Systems ◽  
Hybrid Systems ◽  
Hybrid System ◽  
Control Algorithm ◽  
Closed Loop ◽  
Continuous System ◽  
Control Action ◽  
Digitally Controlled ◽  
Predictive Controller ◽  
Discrete Controller

Hybrid systems are ideal models of real control systems where the discrete controller interacts with the continuous system on a closed loop via A/D converters and digitally controlled actuators. We extend the notion of a predictive controller to hybrid systems by introducing the notion of predictive traces, the set of all possible traces of a hybrid system starting in some state and mode into the future. A control algorithm is developed that explores this set of predictive traces to determine the next control action.

scholarly journals Application of Hierarchical Dissociated Neural Network in Closed-Loop Hybrid System Integrating Biological and Mechanical Intelligence

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0127452
Author(s):  
Yongcheng Li ◽  
Rong Sun ◽  
Bin Zhang ◽  
Yuechao Wang ◽  
Hongyi Li
Keyword(s):  
Neural Network ◽  
Hybrid System ◽  
Closed Loop

scholarly journals Design of a Bioelectronics Hybrid System in Real Time and in Closed Loop

2012 ◽  
Author(s):  
Guilherme Bontorin ◽  
André Garenne ◽  
Colin Lopez ◽  
Gwendal Le Masson ◽  
Sylvie Renaud
Keyword(s):  
Real Time ◽  
Hybrid System ◽  
Closed Loop

scholarly journals Harmonic Mitigation of PV Based Grid-Connected Hybrid System using ANFIS

2019 ◽  
Vol 9 (1) ◽  
pp. 2855-2860
Keyword(s):  
Hybrid System ◽  
Control Strategy ◽  
Closed Loop ◽  
Reactive Power ◽  
Pi Controller ◽  
Active Power ◽  
Closed Loop Control ◽  
Source Condition ◽  
Loop Control ◽  
Composite Control

Deriving quality power is the vital problem in power system network. The main focus of the paper is to reduce the power quality issues mainly the reduction of harmonics using source compensation technique. This paper proposes a grid integrated hybrid system with ANFIS. This hybrid system mainly consists of PV panel, inverters, fuel cell, batteries and filters. Based on working principle and characteristics of the proposed hybrid system, the composite control strategy about active power, reactive power and harmonic suppression is proposed. The composite control strategy are of two loops ie., a single closed-loop control response active power and reactive power, double closed-loop control responses harmonics. Both balanced source condition and unbalanced source condition for three phase system are developed by Simulink model. The balanced and unbalanced source performance is done by using ANFIS. PI controller and ANFIS are compared with their Simulink results. Simulation results shows the performance of ANFIS is better than PI controller.

Application of an automation system and a supervisory control and data acquisition (SCADA) system for the optimal operation of a membrane adsorption hybrid system

2006 ◽  
Vol 53 (4-5) ◽  
pp. 179-184 ◽  
Author(s):  
P.J. Smith ◽  
S. Vigneswaran ◽  
H.H. Ngo ◽  
H.T. Nguyen ◽  
R. Ben-Aim
Keyword(s):  
Data Acquisition ◽  
Hybrid System ◽  
Supervisory Control ◽  
Closed Loop ◽  
Optimal Operation ◽  
Automation System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Scada System ◽  
Scada Systems

The application of automation and supervisory control and data acquisition (SCADA) systems to municipal water and wastewater treatment plants is rapidly increasing. However, the application of these systems is less frequent in the research and development phases of emerging treatment technologies used in these industries. This study involved the implementation of automation and a SCADA system to the submerged membrane adsorption hybrid system for use in a semi-pilot scale research project. An incremental approach was used in the development of the automation and SCADA systems, leading to the development of two new control systems. The first system developed involved closed loop control of the backwash initiation, based upon a pressure increase, leading to productivity improvements as the backwash is only activated when required, not at a fixed time. This system resulted in a 40% reduction in the number of backwashes required and also enabled optimised operations under unsteady concentrations of wastewater. The second system developed involved closed loop control of the backwash duration, whereby the backwash was terminated when the pressure reached a steady state. This system resulted in a reduction of the duration of the backwash of up to 25% and enabled optimised operations as the foulant build-up within the reactor increased.

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