Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Operations Research, Systems Engineering and Industrial Engineering (4)
- Chemical Engineering (3)
- Complex Fluids (3)
- Controls and Control Theory (3)
- Electrical and Computer Engineering (3)
-
- Industrial Technology (3)
- Process Control and Systems (3)
- Computer Engineering (2)
- Artificial Intelligence and Robotics (1)
- Civil and Environmental Engineering (1)
- Computer Sciences (1)
- Numerical Analysis and Scientific Computing (1)
- Physical Sciences and Mathematics (1)
- Systems Science (1)
- Transportation Engineering (1)
- Institution
- Publication
- Publication Type
Articles 1 - 7 of 7
Full-Text Articles in Engineering
Optimization Of Identification Under The Conditions Of Low Reliability Of Information And Parametric Uncertainty Of Non-Stationary Objects, Isroil Ibragimovich Jumanov, Sunatillo Maxmudovich Kholmonov
Optimization Of Identification Under The Conditions Of Low Reliability Of Information And Parametric Uncertainty Of Non-Stationary Objects, Isroil Ibragimovich Jumanov, Sunatillo Maxmudovich Kholmonov
Chemical Technology, Control and Management
Constructive approaches, principles, and methods of optimization of identification in conditions of a priori insufficiency, parametric uncertainty, nonstationarity, low accuracy of data processing have been developed based on the use of natural information redundancy of random time series (RTS) and nonstationary objects in control systems of industrial and technological complexes. A technique has been developed for the accelerated computation of statistical parameters with insufficient statistics. The mechanisms of threshold control of values of elements of RTS, control of increments of the sequence of elements of RTS, inaccuracies of predictions for various models of identification of RTS are proposed. Received general …
Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong
Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong
Journal of Marine Science and Technology
This paper shows how to identify and control a mouse type Ballbot. The Ballbot is an unstable complex system. Using the first principle law to model the robot is not accurate enough. An identification method is proposed. The model is transformed to be MIMO state space model and using a convexconcave optimization to design a robust PI+phase-lead controller. Experiments on a design Ballbot are presented. It turns out that an identification model of Bollbot and a PI+phase-lead controller design framework is suitable for using to control a Ballbot
Determination Of Steels In Kentucky Bridges, Theodore Hopwood Ii, Christopher Goff, Sudhir Palle
Determination Of Steels In Kentucky Bridges, Theodore Hopwood Ii, Christopher Goff, Sudhir Palle
Kentucky Transportation Center Research Report
The Kentucky Transportation Cabinet (KYTC) maintains over two hundred steel bridges constructed with types of steel which are unknown. Kentucky Transportation Center (KTC) researchers have developed a procedure for determining steel tensile properties (0.2% yield strength and ultimate tensile strength) which can be used to help identify unknown steels. The procedure involves extracting small coupons from the lower flanges of steel deck girder bridges. Coupons are then machined into sub-sized tensile testing specimens and suitable shapes for chemical analyses. Sub-sized tensile tests returned values generally comparable to those provided in mill certifications of steels purchased for laboratory trials. Several analytical …
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
Chemical Technology, Control and Management
Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov
Chemical Technology, Control and Management
The questions of formation and construction of algorithms for identification of elements of the transition matrix of controlled objects in conditions of parametric uncertainty are considered. To identify elements of the transition matrix, we suggest using a custom model based on the type of Kalman filtration equations. Algorithms for stable calculation of a pseudo-inverse matrix using matrix decomposition are analyzed. Regular algorithms for solving argumentative problems of minimization of the identification quality criterion are given. These algorithms allow us to regularize the problem of adaptive identification of the transition matrix of an object based on regular methods for minimizing functionals …
Identification Of Wiener Model Based On Improved Differential Evolution (Sade) Algorithm, Xiaoping Xu, Bai Bo, Fucai Qian
Identification Of Wiener Model Based On Improved Differential Evolution (Sade) Algorithm, Xiaoping Xu, Bai Bo, Fucai Qian
Journal of System Simulation
Abstract: To identify the parameters of nonlinear Wiener model, a new identification method was put forward based on a SADE algorithm. Its basic idea is as follows: the Sigmoid function and adaptive mutation operator were adopted to improve the mutation operation part of the basic differential evolution algorithm, accordingly, the disadvantages of the basic differential evolution algorithm, such as premature convergence, instability, etc, were effectively overcome. The proposed algorithm was used to parameter identification problem of Wiener model; moreover, the accuracy of identification was well improved. In the numerical simulation, compared with other relevant existing algorithms, simulation results show that …
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Chemical Technology, Control and Management
This article analyzes the problems of implementing image recognition methods and algorithms for identifying biological objects. The Orthoptera group was chosen as a biological object. Orthoptera is a taxonomic order of insects that includes grasshoppers, crickets, locusts, and others. Approaches to the formation and identification of features of Orthoptera species and the formation of training and control samples of their samples are proposed. Estimation algorithms (ACE) were chosen as algorithmic support for identifying Orthoptera collections. ACE is based on the principle of partial priority. Approaches to the formation of a training and testing complex based on the data from the …