Robust non-linear control applied to internal combustion engine air path using Particle Swarm Optimization

2009 ◽  
Author(s):  
Guillermo Pita Gil ◽  
Vincent Talon ◽  
Guillaume Sandou ◽  
Emmanuel Godoy ◽  
Didier Dumur
Keyword(s):  
Particle Swarm Optimization ◽  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Particle Swarm ◽  
Internal Combustion ◽  
Linear Control ◽  
Swarm Optimization ◽  
Non Linear

A Systematic Approach to Estimate Non-Linear System Parameters using Particle Swarm Optimization and Bond Graph Methods

2021 ◽  
Author(s):  
Irfan Bahiuddin ◽  
Parsaulian I Siregar ◽  
Saiful Amri Mazlan ◽  
Rizki S Nugroho ◽  
Fitrian Imaduddin ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Linear System ◽  
Systematic Approach ◽  
Particle Swarm ◽  
Bond Graph ◽  
Swarm Optimization ◽  
System Parameters ◽  
Non Linear ◽  
Non Linear System

IMPROVED PARTICLE SWARM OPTIMIZATION FOR NON-LINEAR PROGRAMMING PROBLEM WITH BARRIER METHOD

2017 ◽  
Vol 5 (4) ◽  
pp. 72-80
Author(s):  
Raju Prajapati ◽  
Om Prakash Dubey ◽  
Randhir Kumar
Keyword(s):  
Linear Programming ◽  
Particle Swarm Optimization ◽  
Programming Language ◽  
Particle Swarm ◽  
Barrier Method ◽  
Lagrangian Multipliers ◽  
Swarm Optimization ◽  
Non Linear Programming ◽  
Non Linear ◽  
Linear Programming Problems

The Non-Linear Programming Problems (NLPP) are computationally hard to solve as compared to the Linear Programming Problems (LPP). To solve NLPP, the available methods are Lagrangian Multipliers, Sub gradient method, Karush-Kuhn-Tucker conditions, Penalty and Barrier method etc. In this paper, we are applying Barrier method to convert the NLPP with equality constraint to an NLPP without constraint. We use the improved version of famous Particle Swarm Optimization (PSO) method to obtain the solution of NLPP without constraint. SCILAB programming language is used to evaluate the solution on sample problems. The results of sample problems are compared on Improved PSO and general PSO.

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