Post Optimal System Analysis Using Aggregated Design Impact Matrix

2000 ◽  
Author(s):  
Petter Krus
Keyword(s):  
Gradient Method ◽  
System Analysis ◽  
System Development ◽  
Least Square ◽  
Optimal System ◽  
Relative Importance ◽  
Recursive Least Square ◽  
Established Procedure ◽  
System Characteristics

Abstract In this paper the concept of the Aggregated Design Impact Matrix, ADIM, is introduced. This is a tool to calculate and present the relative importance of whole components and subsystems (instead of individual parameters) on different system characteristics. Optimisation is a well-established procedure for system development. Here a non-gradient method is used. Although the sensitivities are not calculated explicitly they can be estimated from the sequence of parameter sets evaluated during the optimisation. The technique used here is recursive least square.

The Use of Vehicle Dynamic Response to Estimate Road Profile Input in Time Domain

2014 ◽  
Author(s):  
Yechen Qin ◽  
Reza Langari ◽  
Liang Gu
Keyword(s):  
Time Domain ◽  
System Analysis ◽  
Least Square ◽  
System Response ◽  
Group Method ◽  
Vehicle Dynamic ◽  
Recursive Least Square ◽  
Inference System ◽  
Vehicle System ◽  
Road Profile

A new method for road profile estimation in time domain with the application of vehicle system response was presented in this paper, and the problem was transformed as a system identification issue for an inverse nonlinear quarter vehicle model. Firstly, the inverse vehicle dynamic model was trained with specifically chosen white noise signal, and then eight different types of membership functions (MF) for Adaptive Neuro Fuzzy Inference System (ANFIS) were compared. Finally, the comparison of three different methods: ANFIS, Recursive Least Square (RLS) and Group Method of Data Handling (GMDH) were researched with different vehicle speeds and different road levels in the simulation part. The results showed that ANFIS is better in comparison with RLS and GMDH and this method can be further applied for vehicle system analysis.

Kernel Recursive Least Square Approach for Power System Harmonic Estimation

2021 ◽  
pp. 1-16
Author(s):  
Omar Avalos ◽  
Erik Cuevas ◽  
Héctor G. Becerra ◽  
Jorge Gálvez ◽  
Salvador Hinojosa ◽  
...  
Keyword(s):  
Power System ◽  
Least Square ◽  
Recursive Least Square ◽  
Least Square Approach

scholarly journals An automated system analysis and design tool for spacecrafts ceas space journal

2021 ◽  
Author(s):  
Manfred Ehresmann ◽  
Georg Herdrich ◽  
Stefanos Fasoulas
Keyword(s):  
Evolutionary Algorithms ◽  
Evolutionary Algorithm ◽  
Degrees Of Freedom ◽  
System Analysis ◽  
Propulsion System ◽  
Optimal System ◽  
Automated System ◽  
Processing Unit ◽  
Data Set ◽  
Analysis And Design

AbstractIn this paper, a generic full-system estimation software tool is introduced and applied to a data set of actual flight missions to derive a heuristic for system composition for mass and power ratios of considered sub-systems. The capability of evolutionary algorithms to analyse and effectively design spacecraft (sub-)systems is shown. After deriving top-level estimates for each spacecraft sub-system based on heuristic heritage data, a detailed component-based system analysis follows. Various degrees of freedom exist for a hardware-based sub-system design; these are to be resolved via an evolutionary algorithm to determine an optimal system configuration. A propulsion system implementation for a small satellite test case will serve as a reference example of the implemented algorithm application. The propulsion system includes thruster, power processing unit, tank, propellant and general power supply system masses and power consumptions. Relevant performance parameters such as desired thrust, effective exhaust velocity, utilised propellant, and the propulsion type are considered as degrees of freedom. An evolutionary algorithm is applied to the propulsion system scaling model to demonstrate that such evolutionary algorithms are capable of bypassing complex multidimensional design optimisation problems. An evolutionary algorithm is an algorithm that uses a heuristic to change input parameters and a defined selection criterion (e.g., mass fraction of the system) on an optimisation function to refine solutions successively. With sufficient generations and, thereby, iterations of design points, local optima are determined. Using mitigation methods and a sufficient number of seed points, a global optimal system configurations can be found.

scholarly journals An Effective Joint Soft-Sensing Strategy for Multi-Information under Diverse Vehicle Driving Scenarios

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 505
Author(s):  
Jianfeng Chen ◽  
Jiantian Sun ◽  
Shulin Hu ◽  
Yicai Ye ◽  
Haoqian Huang ◽  
...  
Keyword(s):  
Time Delay ◽  
Fast Response ◽  
Least Square ◽  
Accurate Information ◽  
Recursive Least Square ◽  
Soft Sensing ◽  
The Road ◽  
Vehicle Mass ◽  
Cubature Kalman Filter ◽  
Road Slope

A variety of accurate information inputs are of great importance for automotive control. In this paper, a novel joint soft-sensing strategy is proposed to obtain multi-information under diverse vehicle driving scenarios. This strategy is realized by an information interaction including three modules: vehicle state estimation, road slope observer and vehicle mass determination. In the first module, a variational Bayesian-based adaptive cubature Kalman filter is employed to estimate the vehicle states with the time-variant noise interference. Under the assumption of road continuity, a slope prediction model is proposed to reduce the time delay of the road slope observation. Meanwhile, a fast response nonlinear cubic observer is introduced to design the road slope module. On the basis of the vehicle states and road slope information, the vehicle mass is determined by a forgetting-factor recursive least square algorithm. In the experiments, a contrasted strategy is introduced to analyse and evaluate performance. Results declare that the proposed strategy is effective and has the advantages of low time delay, high accuracy and good stability.

Manufacturing Plant Management Information System Analysis and Design Based on UML

2010 ◽  
Vol 455 ◽  
pp. 237-241
Author(s):  
X.Y. Yang ◽  
H.B. Zheng ◽  
Z.W. Zhang
Keyword(s):  
Asset Management ◽  
System Analysis ◽  
Structural Model ◽  
System Development ◽  
Unified Modeling Language ◽  
Object Oriented ◽  
Plant Management ◽  
Management Information ◽  
Static Structure ◽  
Analysis And Design

With the development of manufacturing automation and intelligent increasing speed, the construction in plant management information has been important tasks to promote business innovation ability, improve competitiveness and manufacturing execution. In this paper, UML (Unified Modeling Language) and object-oriented modeling technology were applied to model the static structure and dynamic behavior of the plant management information from requirement analysis to system implementation, including functional requirement model, static structural model, asset management time sequence chart, system physical model and so on. The visualized system analysis method and technology better planned the system design and improved the efficiency of the system development. It will play a guiding role in the object-oriented software development.

A simple recursive least square algorithm of space–temporal joint equalizer

2012 ◽  
Vol 22 (6) ◽  
pp. 1145-1153 ◽  
Author(s):  
Maw-Lin Leou ◽  
Yi-Ching Liaw ◽  
Chien-Min Wu
Keyword(s):  
Least Square ◽  
Recursive Least Square ◽  
Recursive Least Square Algorithm
Sign in / Sign up

Export Citation Format

Share Document