Classification Of Control Systems Research Articles

Enhancing Attainment of Learning Outcomes Through Active Learning

This paper presents an experimental study conducted on employing Active Learning strategies towards enhancing the attainment of learning outcomes of a course "Linear Control Systems" in the undergraduate (UG) Electrical and Electronics Engineering (EEE) programme. The existing UG programme curriculum is retrofitted into outcome-based curriculum. The Programme Outcomes (POs) for this programme are derived from the Graduate Attributes of Washington Accord (WA). In order to meet the POs, Course Learning Outcomes (CLOs) are written predominantly in the Cognitive (Revised Bloom's taxonomy) and Psychomotor (Dave's taxonomy) domains for lecture-based courses and laboratory courses, respectively and very few are written in Affective (Bloom's taxonomy) domain. In this paper, four CLOs (i) Discuss the various classification of control systems (K2), (ii) Define the time and frequency response of the system (K2), (iii) Derive the overall transfer function of the given Block diagram of a system (K3) and (iv) Derive the overall transfer function of a Signal Flow Graph (SFG) of a system (K3) are considered to measure the effectiveness of active learning methods in attaining the outcome. Active learning methods such as Jigsaw, Think-pair-share and Peer instruction, and traditional lecture-based methods were employed. In addition, ClassComm software with student interactive devices was used to measure the students' learning in the classroom and subsequently the attainment of CLOs. This study compares the effectiveness of active learning methods with the traditional lecture-based instruction method in relation to the attainment of CLOs. The overall analysis results reveal that both instructors and students received the active learning methods very well, and they are very effective in enhancing the attainment of learning outcomes. However, instructors are of the view that the duration of the contact period should be at least two hours. Keywords— active learning, Bloom's taxonomy, concept map, control systems, learning outcomes

The problem of control systems for illicit trafficking of narcotic drugs and psychotropic substances

The subject of the study is problematic issues of control systems for illicit trafficking of narcotic drugs and psychotropic substances. The author analyzes the control systems of the Russian Federation, as well as foreign states, analyzes the relationship of the control system for illicit trafficking in narcotic drugs and psychotropic substances with the national security system of the state. Particular attention is paid to the search and justification of common features and features of control systems for illicit trafficking in narcotic drugs and psychotropic substances in existing legal systems. The author examines in detail such aspects of the topic as the classification of control systems, the principles of functioning of control systems and the extension of the tools of existing control systems to new potentially dangerous psychoactive substances. The novelty of the research lies in a comprehensive analysis of existing legal norms aimed at suppressing illicit trafficking in narcotic drugs and psychotropic substances. The author introduces the term "control system for illicit trafficking of narcotic drugs and psychotropic substances", and classifies existing control systems. The main conclusions of the study are: 1) currently, there are individual, universal and mixed control systems for illicit trafficking in narcotic drugs and psychotropic substances; 2) the Russian control system is individual; 3) the universal control system is most consistent with the goals of ensuring national security. The results of the study are applicable in law-making, law enforcement and research activities.

Invertible Linear Ordinary Differential Operators Represented as a Composition of the Simplest Operators

This article is a sequel to the earlier articles, which describe the invertible ordinary differential operators and their generalizations. The generalizations are invertible mappings of filtered modules generated by one differentiation, and are called invertible D-operators. In particular, invertible ordinary linear differential operators, invertible linear difference operators with periodic coefficients, maps defined by unimodular matrices, and C-transformations of control systems are invertible D-operators. C-Transformations are those invertible transformations for which the variables of one system are expressed in terms of the variables of the other system and their derivatives.In the article we consider the invertible D-operators whose inverses are D-operators of the same type. In previous papers, a classification of invertible D-operators was obtained. Namely, a table of integers was associated to each invertible D-operator. These tables were described in a clear elementary-geometric language. Thus, to each invertible D-operator one assigns an elementary-geometric model, which is called a d-scheme of squares. The class of invertible D-operators having the same d-scheme was also described. In this paper, the invertible D-operators whose d-schemes consist of a single square are called unicellular. It is proved that any unicellular operator in some bases is given by an upper triangular matrix that differs from the identity matrix only by the first row. The main result is representation of the arbitrary invertible D-operator as a composition of unicellular operators. The minimum number of unicellular operators in such a composition is equal to the number of squares of the d-scheme of the original D-operator. As in previous papers, the used method is based on the description of d-schemes in the language of spectral sequences of algebraic complexes.The results obtained can be useful in the transformation and classification of control systems, in particular to describe flat systems.

Controllable dynamic systems and underdetermined systems of differential equations

The question is considered on the concept of a controllable dynamic system in the form of an underdetermined system of differential equations. The effectiveness of such a concept is shown for the solution of the problem of the classification of controllable systems.

Classification of Controllable Systems on Low-Dimensional Solvable Lie Groups

Right-invariant control systems on simply connected solvable Lie groups are studied. A complete and explicit description of controllable single-input right-invariant systems on such Lie groups up to dimension 6 is obtained.