Advances in Systems Science and Applications 2019-01-09T18:37:21+00:00 Mikhail Goubko, Associate Editor-in-Chief Open Journal Systems <p><strong><em>Advances in Systems Science and Applications </em></strong><strong>(<em>ASSA</em>) </strong>is an international peer-reviewed open-source online academic journal. Its&nbsp;scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome.</p> <p>ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public&nbsp;governance, finance, and many others.</p> Tuning hybrid distributed storage system digital twins by reinforcement learning 2019-01-09T18:37:20+00:00 Andrey Sapronov Vladislav Belavin Kenenbek Arzymatov Maksim Karpov Andrey Nevolin Andrey Ustyuzhanin <p>In this paper, we consider the problem of fine-tuning a discrete event simulator of distributed storage system by a neural network trained with reinforcement learning algorithms on real data. The simulator has a set of control parameters that affect its behaviour and can be tuned during the simulation. Variation of these parameters influences how realistic the simulation is. The problem of simulator tuning is equivalent to the discovery of an optimal control strategy that leads to sensible results. We investigate different optimization metrics and demonstrate the viability of the approach.</p> 2018-12-28T10:20:14+00:00 ##submission.copyrightStatement## Estimation of Stress-Strength Reliability for Quasi Lindley Distribution 2019-01-09T18:37:20+00:00 Amr Fouad Sadek Mostafa Mohie El-Din Shaimaa Elmeghawry <p>This paper discussed the problem of stress-strength reliability model R=Pr(Y&lt; X). It is assumed that the strength of a system X, and the environmental stress applied on it Y, follow the Quasi Lindley Distribution(QLD). Stress-strength reliability is studied using the maximum likelihood, and Bayes estimations. Asymptotic confidence interval for reliability is obtained. Bayesian estimations were proposed using two different methods: Importance Sampling technique, and MCMC technique via Metropolis-Hastings algorithm, under symmetric loss function (squared error) and&nbsp; asymmetric loss functions (linex, general entropy). The behaviors of the maximum likelihood and Bayes estimators of stress-strength reliability have been studied through the Monte Carlo simulation study.&nbsp;</p> 2018-12-28T10:24:06+00:00 ##submission.copyrightStatement## Costs Function Optimization For Prevention Of Firm’s Industrial Risks With Regard To Reinvestment Of Profit 2019-01-09T18:37:20+00:00 Elena Pavlovna Rostova Mikhail Geraskin <p><em>We consider the problem of the firm’s cost function optimization to prevent the industrial risks (i.e., the voluntary risk costs), by the criterion of the total costs with regard to a reinvestment of the firm’s profit. In the paper the voluntary risk costs function of the firm in the perfect competition by the total costs criterion is optimized. The rational strategy of the firm’s risk management consists in a gradual increase of the costs to prevent the risk situations with the production volume growth. The voluntary risk costs function is determined for the power function of the production costs and the exponential decreasing function of the industrial damage for the firm in the perfect competition.</em></p> 2018-12-28T10:19:33+00:00 ##submission.copyrightStatement## Solution of one Global Problem by Approach of the Parametric Control Theory 2019-01-09T18:37:20+00:00 Abdykappar Ashimov Yuriy Borovskiy <p>Purpose of this paper is to show the potential of parametric control theory approach for the optimal solution of global problems (in the case of the food problem) and to substantiate the benefits of joint action to solve them on the basis of the developed global multi-country computable general equilibrium model (hereinafter - Model).</p> <p>The main results of the paper:</p> <p>Model verification (testing the possibility of its practical application) of the constructed and calibrated Model was successfully carried out by methods of parametric control theory: using sustainability assessments and assessments of sustainability indicators of smooth mappings, which are defined by the Model; as well as through conducting of series of counterfactual and forecast scenarios.</p> <p>Based on the Model a number of parametric control problems were solved in finding the optimal values of the instruments of public policy, which provide economic growth, reducing the gap in economic development between rich and poor regions, as well as increasing the production of agricultural products in the regions.</p> <p>Value consists in the developed Model and in showing approaches of parametric control theory on providing guidance to address global problems and to substantiate the benefits of joint action within the framework of their decision.</p> 2018-12-28T10:24:24+00:00 ##submission.copyrightStatement## Modeling and Simulation of Frequency Response Masking FIR Filter Bank using Approximate Multiplier for Hearing Aid Application 2019-01-09T18:37:21+00:00 Ramya Raghavachari Moorthi Sridharan <p>The tremendous increase in the use of portable electronic devices is due to the development in the fields of signal processing and electronic technology. These battery operated devices needs reduction in power consumption with increased performance and long battery life. Since CMOS technology scaling fast approaches its physical limit of minimum supply voltage and smaller feature size, the hardware designer has to opt for new multiplier architectures for achieving low power and high speed performance. This paper proposes an area and power efficient approximate multiplier architecture. The error metrics are estimated to verify its performance advantage over other approximate multipliers. Using Frequency Response masking approach, a 6-band non-uniform digital FIR filter bank is developed using approximate multiplier for hearing aid application. Audiogram matching is done with audiograms of two different types of hearing losses and the matching error is computed. Simulation results show that the audiogram matching error falls within +/- 4 dB range.</p> 2018-12-28T10:23:48+00:00 ##submission.copyrightStatement## Design of Robust Stabilizing PI/PID Controller for time delay Interval Process Plants Using Particle Swarm Optimization 2019-01-09T18:37:21+00:00 Mangipudi Siva Kumar D. Srinivasa Rao Manyala Ramalinga Raju <p class="ASSAAbstract">Since most of the control systems operate under a large uncertainty, the study of robustness in stability has become vital in the presence of uncertainty. The largest uncertainty present in the control system causes degradation of system performance and destabilization. With a view to conquering the uncertainty, a novel approach for the design of robust PI/PID controller for the interval process plant is proposed in this paper. The proposed approach develops a robust PI/PID controller for the interval process plant with and without time delay based on necessary and sufficient conditions for stability of interval polynomial. Consequently, these conditions are used to derive a set of inequalities from the closed loop characteristic polynomial of an interval system in terms of controller parameters. Finally, these inequalities are solved to obtain controller parameters with the help of Particle Swarm Optimization (PSO). The proposed method has the advantage of having less computational complexity and easy to implement on a digital computer. The viability of the proposed methodology is illustrated through numerical examples of its successful implementation. The efficacy of the proposed methodology is also evaluated against the available approaches presented by Patre and Deore (2003), (2011) and the results were successfully implemented.</p> 2018-12-28T10:24:55+00:00 ##submission.copyrightStatement## Chaotic Analysis and Improved Finite-Time Adaptive Stabilization of a Novel 4-D Hyperchaotic System 2019-01-09T18:37:21+00:00 Edwin A. Umoh Ogechukwu N. Iloanusi <p>Chaotic systems are evidently very sensitive to slight perturbations in their algebraic structures and initial conditions, which can result in unpredictability of their future states. This characteristic has rendered them very useful in modelling and design of engineering and non-engineering systems. Using the Burke-Shaw chaotic system as a reference template, a special case of a novel 4-D hyperchaotic system is proposed. The system consists of 10 terms and 9 bounded parameters.&nbsp; In this paper, after the realization of a mathematical model of the novel system, we designed an autonomous electronic circuit equivalent of the model and subsequently proposed an improved adaptive finite-time stabilizing controllers which incorporates some augmented strength coefficients in the derived controller structures. These augmented coefficients greatly constrained transient overshoots and resulted in a faster convergence time for the controlled trajectories of the novel system. This novel system is suitable for application in the modelling and design of information security systems such as image encryption and multimedia security systems, due to its good bifurcation property.</p> 2018-12-28T10:23:06+00:00 ##submission.copyrightStatement## Systems Methodology And Model Tools For Territorial Sustainable Management 2019-01-09T18:37:21+00:00 Gennady A. Ougolnitsky T. Yu. Anopchenko O. I. Gorbaneva E. I. Lazareva A. D. Murzin <p>No doubt, this research is topical in the context of new challenges arising for different Russian territories (regions) due to intensive globalization processes and jumping trends of world economy. These challenges are stressing the need for an innovation-oriented improvement of regional management systems in accordance with the realities of cyclicity and the conditions of fundamental resources to stimulate positive social and economic dynamics.</p> <p>The goal of the present paper is to justify a methodology and real ways of regional sustainable management system design based on efficient model tools and information technology.</p> <p>For achieving this goal, several problems have been solved such as the dynamic modeling of a regional social-ecological-economic system and coordination of public (social) and private interests, the elaboration of reasonable management approaches to regional development risks, as well as the design of an appropriate methodology to integrate the suggested models and approaches within an information-analytical sustainable management support system. &nbsp;</p> <p>The novelty of an original scientific outlook introduced by the authors consists in the elaboration of a well-grounded systems methodology and model tools for regional sustainable management and also in the justification and verification of qualitative and quantitative approaches to the analysis of regional development risks and their integration into a unified regional sustainable management system.</p> <p>The methodology and model tools presented below can be used for enhancing the scientific and practical components of a regional sustainable management system under dynamic and conflicting external conditions.</p> 2018-12-29T00:00:00+00:00 ##submission.copyrightStatement## A Unified Approach to Reliability, Availability, Performability Analysis Based on Markov Processes with Rewards 2019-01-09T18:37:21+00:00 Valentina S. Viktorova Nikolai V. Lubkov Armen S. Stepanyants <p>This paper discusses a unified approach to reliability, availability and performability analysis of complex engineering systems. Theoretical basis of this approach is continuous-time discrete state Markov processes with rewards. From reliability modeling point of view complex systems are the systems with static and dynamic redundancy, imperfect fault coverage, various recovery strategies, multilevel operation and varying severity of failure states. We propose a unified method of calculating the reliability, availability and performability indices based on the definition of special forms of reward matrix. This method proved to be effective in calculating both cumulative and instantaneous measures in steady-state and transient cases. We describe special analytical software which implements suggested method. We demonstrate the flexibility of the proposed method and software by analyzing multilevel process unit with protection and demand-based warm standby system.</p> 2018-12-28T10:22:44+00:00 ##submission.copyrightStatement##