Comparative study of controller performance for different real-time hybrid models
23 Apr 2015-pp 39-44
TL;DR: Comparison study of two specified optimal performance controller modelling techniques like Two-Point Method (TPM) and Sunderesan and Krishnaswamy Method (SKM) with couple of tuning techniques and simulation results for the controller modelling using the MATLAB are provided.
Abstract: One of the main problemsin the performance of process industries in first order plusdead time (FOPDT) system is because the presence of time delay in the system which can lead to destabilization of the system. This paper briefly explains about comparative study of two specified optimal performance controller modelling techniques like Two-Point Method (TPM) and Sunderesan and Krishnaswamy Method (SKM) with couple of tuning techniques. In this paper we have chosen a real time Single Spherical Tank Liquid Level System (SSTLLS) for our investigation. This system is considered for study of various control algorithms based on Skogested Internal Model Control (SIMC) tuning method, Chein-Hrones-Reswick (CHR) Auto tuning method for the time delay system. These controllers are compared in terms of performance and time domain specification. This research paper provides simulation results for the controller modelling using the MATLAB.
TL;DR: In this paper, the authors carried out a quantitative approach in a questionnaire distribution across a given number of data collection respondents and has shown that financial crime and its success contribute directly to the financial performance of banks.
Abstract: A business associate in an organization may represent fraud as a series of disappointing business practices to help individuals. Therefore, it is an act to mask the other by covering real facts and presenting fake information and statements. Online manipulation is the biggest field that has been opened up. Online fraud has been more widespread as technical innovation coupled with internet penetration and resulting improvements have arisen. In terms of internet sales and valuation, e-commerce development is expressed. During the eight-year duration from 2008 to 2014, the overall volume of the trade rose from $268 billion to $ 1.5 trillion. The study carried out the quantitative approach in a questionnaire distribution across a given number of data collection respondents and has shown that financial crime and its success contribute directly. The findings indicated that the greater the fraud, the poorer the bank's performance, the more the online fraud appears to impact the financial performance of banks adversely.
TL;DR: In this article, the authors examined the influence of organizational participation and encouragement in banks' work results and found a substantial level below 5% which indicates that the study variables are closely linked.
Abstract: All companies aspire to compete against their rivals, retain a strategic edge in the industry, gain the largest market share and be inspired to bring out their utmost to achieve their desired goals at work. Few businesses think they will gain growth and wealth by important assets for their workers. Unfortunately, most companies appear to exploit the dismissal of their workers and talented applicants. Recognizing the critical position of workers appears to have a major effect on operational performance as most companies aim to maintain staff by empowering and enhancing the working standards of their employees. Therefore, it is necessary to enforce certain techniques to retain high quality and ensure performance and efficiency. The research examined the influence of organizational participation and encouragement in banks' work results. A study of 100 participants was tested, and findings were evaluated using the chi-square analysis. The findings revealed a substantial level below 5% which indicates that the study variables are closely linked. The quantitative approach and qualitative framework have been used to analyze their perception of the effects of job retention on the success of workers. Approach a single case study for various branches by implementing a similar case study and addressing a larger number of samples. This allows the researcher to remove the survey challenge and hold evidence from a larger community with a deeper comprehension of the idea of encouragement and how it influences workers' output.
07 Oct 2021
TL;DR: In this paper, a new pigeonhole approach called "continuous trend labeling" is proposed to identify the time series analysis information's persistent trend functionality, resulting in a misalignment among their pigeonhole results and actual market inclination.
Abstract: In the finance sector, time series forecasting has been widely used in situations such as stock prices forecasting and equity market forecasting. In recent years, techniques of computer vision include become increasingly popular in the monetary assumption of periodicity. A hot subject is how to mark information from macroeconomic variables to assess the accuracy rate of computer vision techniques and, as a result, final investment returns. Existing information from macroeconomic variables labelling methods primarily mark data and comparing current data to data from a limited period in the future. Information from a macroeconomic variable, on the other hand, are often quasi, with apparent unpredictability in the brief period. As a result, such tagging methods struggled to identify the time series analysis information’s persistent trend functionality, resulting in a misalignment among their pigeonhole results and actual market inclination. A new pigeonhole approach called “continuous trend labeling” is proposed in this paper to fix the issue. This article presents a novel feature preprocessing tack that avoids taking a gander distortion that plagues continuous data consistency and preprocessing approaches. The principle of constant trend marking and an advanced tagging framework for removing consistent trend characteristics from time-series data were then presented, along with a detailed logical explanation. Experiments on the ensembled model yielded a scoring accuracy of 52 percent, which was close to the Cagliari teams. The results were determined by combining all of the networks' ratings. Even though it appears to be a low percentage, being right on a trade position more than 50% of the time is considered good, particularly when looking at the data in isolation. Our labelling system is significantly superior to classifiers and other identification evaluation measures; province tagging approaches are used. According to the observations of the study, word embeddings like LSTM and GRU are suitable to finance related time series data prediction.
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.
Abstract: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect. Corresponding units are proposed for a classification of industrial processes in terms of the two principal characteristics affecting their controllability. Formulas are given which enable the controller settings to be determined from the experimental or calculated values of the lag and unit reaction rate of the process to be controlled
01 Jan 1942
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect.
••01 May 1993
TL;DR: In this article, the analytical procedures for obtaining optimum PID controller settings for minimisation of time weighted integral performance criteria are reviewed and two procedures for finding the required controller parameters for optimisation of the integral of time error squared criterion are presented.
Abstract: The paper first briefly reviews the analytical procedures for obtaining optimum PID controller settings for minimisation of time weighted integral performance criteria. The approach is then used to obtain formulae for setting the controller parameters for a first-order plus dead time plant model which is a common approximation used in the process industries. These results are further extended to obtain two procedures, which can be used with the relay autotuning approach, to find the required controller parameters for optimisation of the integral of time error squared criterion. Good results have been obtained when these criteria are used with other plant models.
••01 Jun 1999
TL;DR: The rule decoupled and one-input rule structures proposed in this paper provide greater flexibility and better functional properties than the conventional fuzzy PHD structures.
Abstract: The majority of the research work on fuzzy PID controllers focuses on the conventional two-input PI or PD type controller proposed by Mamdani (1974). However, fuzzy PID controller design is still a complex task due to the involvement of a large number of parameters in defining the fuzzy rule base. This paper investigates different fuzzy PID controller structures, including the Mamdani-type controller. By expressing the fuzzy rules in different forms, each PLD structure is distinctly identified. For purpose of analysis, a linear-like fuzzy controller is defined. A simple analytical procedure is developed to deduce the closed form solution for a three-input fuzzy inference. This solution is used to identify the fuzzy PID action of each structure type in the dissociated form. The solution for single-input-single-output nonlinear fuzzy inferences illustrates the effect of nonlinearity tuning. The design of a fuzzy PID controller is then treated as a two-level tuning problem. The first level tunes the nonlinear PID gains and the second level tunes the linear gains, including scale factors of fuzzy variables. By assigning a minimum number of rules to each type, the linear and nonlinear gains are deduced and explicitly presented. The tuning characteristics of different fuzzy PID structures are evaluated with respect to their functional behaviors. The rule decoupled and one-input rule structures proposed in this paper provide greater flexibility and better functional properties than the conventional fuzzy PHD structures.
TL;DR: In this article, the authors present a model predictive control (MPC) law for nonlinear hybrid systems using multiple linearized models, where each linearized model is a local representation of all locations of the hybrid system.
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