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The need to improve the quality of management at minimum costs, the complexity of the structure of the management object, the functions performed by it, leads to an increase in uncertainties that need to be taken into account. Application of typification and unification will allow to reduce the cost of production of new products, to increase the level of automation of productions.
This paper considers the problem of block-oriented Wiener systems control. Designing controllers for Wiener systems face many challenges, for instance, parameter uncertainty and lack of state measurement. To address these issues, the input-output response of a class of Wiener systems is represented with a simple fractional-order model, then a closed-loop model reference fractional adaptive controller...
The problems which remain for further studying in grey system theory are identified. Including the synthesis axiom of degree of greyness for “multiplication” and “division”, how to construct and select a suitable buffer operator? how to select and test a grey prediction model? how to build a negative grey incidence analysis models? the test rules and criteria of grey clustering evaluation models,...
Concepts of Control Systems are important as they are present in the operation of a broad set of systems in all engineering branches. Sustainability issues have led to an intensive use of these concepts on systems. However teaching / learning of Control Systems Engineering has always been a difficult subject not only for the underlying theoretical part, but also for the few examples that are traditionally...
Non-hyperbolic points of slow-fast systems (also known as singularly perturbed ordinary differential equations) are responsible for many interesting behavior such as relaxation oscillations, canards, mixed-mode oscillations, etc. Recently, the authors have proposed a control strategy to stabilize non-hyperbolic points of planar slow-fast systems. Such strategy is based on geometric desingularization,...
System sensitivity analysis (SSA) is a mathematical method used in the study of behaviour of dynamic systems. From engineering practice is well known that a dynamic system did not respond in the same way to all external stimulus (command or disturbance). The results of SSA study for anaerobic digestion bioprocess, provides important information for synthesis of control system. Also, it is possible...
The aim of this paper is to design a multivariable H-infinity controller for a wastewater treatment plant. The use of advanced control strategies for such processes is necessary because wastewater plants have a nonlinear behavior and are extremely sensitive to the influent flow and load. Nonlinear mathematical models usually present a higher accuracy than the linear mathematical models, but due to...
This paper addresses the problem of discretization for uncertain linear systems with time-delay, uncertainty being of type bounded norm. Model is uncertain when the system modeling errors in the operating range controlled by the command are poorly known. A new approximated discretization method and digital design for control systems with time-delay are proposed. Numerical examples are given to demonstrate...
This paper presents an innovative dry friction model describing the Coulomb and Striebeck effects on a mechanical system. This model has the particularity of relying not only on the mechanical system velocity but also on its driving force. A compensation control structure providing feedback linearization is derived from the said model, with an additional adaptive control scheme guaranteeing efficient...
The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for...
Dissolved Oxygen (DO) concentration is a crucial parameter for efficient operation of biological processes taking place in the activated sludge Wastewater Treatment Plant (WWTP). High-quality DO control is difficult to achieve because of complex nonlinear behavior of the plant and substantial influent disturbances. A method to improve the Direct Model Reference Adaptive Control (DMRAC) technology...
A particular Mobius transformation mapping a completely general discrete-time algebraic dynamical system into a standard (proper) continuous-time one is introduced and studied. The freedom in choosing ab ante the exclusion point (in which the transformation is not defined) different from any point of interest makes this transformation a powerful universal tool for solving virtually any optimal/robust...
In the article problems of control in complex modern technical systems are considered. The main features of these systems are globality, large scalability, heterogeneity, situation uncertainty. The analysis of the existing approaches to solving given problem using self-organization methods and multiagent technology is carried out. The conclusion about necessity of development self-organizing systems...
This paper deals with the possibility to control the biosynthesis processes using information about microorganisms mean age. The mean age is a very important parameter characteristic to every species and is tightly linked to the mechanism of producing biosynthesis products. The basic idea in controlling the biosynthesis processes using microorganisms mean age information is to bring the most microorganisms...
The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant Ks and, albeit intuitively, the parameter combination μmaxX/Y where μmax is the maximum growth rate [g/min], Y is the yield coefficient [g/g],...
A vital process in wastewater treatment is the biological treatment with activated sludge. In Romania, there are still plenty of cases where the biological treatment stage is operated manually, leading to inefficient operation and implicitly to higher operational costs, increased difficulty in maintaining the quality of the effluent and less disturbance rejection capabilities. In our paper, we show...
The algorithm of the interval observer design for a class of nonlinear systems with parametric uncertainty is considered. It is shown that the observer allows to derive an interval that contains the actual value of the state at a given time. The main condition of such a device construction deals with a cooperativity of the interval estimation error dynamics. The question of the selecting the individual...
Compartmental models are widely used in in many fields of science including pharmacokinetics, epidemiology, bioengineering, complexity theory, and even economics and the social sciences. The reason of such a success lies in their ability to describe the way materials or energies are transmitted among the compartments. Often, it is assumed that these exchanges depend linearly on the compartments. However,...
This tutorial paper presents two examples of invivo real-time control of gene regulatory networks in the eukaryote S. cerevisiae (baker's yeast). I discuss the theoretical and experimental challenges this problem poses and describe a microfluidics-based platform to address them. The results obtained using this setup demonstrate the proposed approach is both feasible and capable of achieving superior...
As the insert of network in Networked Control System (NCS), the problems of random time-delay and loss of packet can't be avoided. Therefore, how to design an available controller for NCS is a worthy work to be done. In this paper, a novel internal model control (IMC) combined with the ultra-short feedback is proposed, which is based on the ultra-short feedback of neuroendocrine in the biological...
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