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Dealing with a multivariable non-minimum phase model of a boiler system, a LQG/LTR controller is designed which is well-known for its optimality and robustness. Firstly, the loop transfer function is shaped using LQG method; then, an observer is proposed with the aim of loop transfer recovery. Consequently, the designed controller is reduced to the lowest possible order for the sake of implementation...
We describe an algorithm for solving a single machine scheduling problem with additional assumptions motivated by magnetic resonance imaging (MRI) systems. In the operating model, the temperature dynamics is involved and the objective is to minimize the total production time.
In this paper a new, adaptive cooperative form of robust distributed model predictive control is introduced. In the new algorithm, for linear, dynamically-decoupled subsystems in the presence of bounded disturbances, an optimizing subsystem determines the existence of paths in a graph representing currently-active coupling constraints. Where such paths exists, cooperation is promoted by the local...
The new sliding mode control design algorithm for a linear disturbed system is presented. It is based on the appropriate selection of the sliding surface via invariant ellipsoid method. The designed control guarantees minimization of the effects of unmatched disturbances to the system motion in the sliding mode. All theoretical results are approved by numerical simulations.
This paper considers the design of decentralized controllers for large-scale linear systems subject to multi-layer nested saturation. The design of decentralized state feedback laws that result in large domains of attraction are formulated as optimization problems with LMI and BMI constraints. Numerical algorithms are developed to solve these problems.
Nominal precision of state observation and bandwidth of sliding mode (SM) observers are analyzed through the frequency-domain method. The previously developed approach to analysis of SM observers as relay feedback-feedforward systems is used and further extended to analysis of effects of design parameter change on observer performance. An example of SM observer design for estimation of DC motor speed...
Control of systems with time-varying dynamical characteristics impose either a conservative time-invariant control strategy that should hold for all time instants or to adopt some adaptive scheme. One of such, called simple adaptive control, is particularly appropriate for control applications such as flexible aircrafts or other fast varying processes. Indeed, it does not need any real-time estimation...
The gating and riser design plays an important role in the quality and cost of a metal casting. Due to the lack of existing theoretical procedures to follow, the design process is normally carried out on a trial-and-error basis. In this paper, the casting design is first formulated as a multi-objective optimization problem with conflicting objectives and a complex search space. An optimization method...
The Internet occasionally experiences large disruptions, arising from both natural and manmade disturbances, and it is of significant interest to develop methods for locating within the network the source of a given disruption (i.e., the network element(s) whose perturbation initiated the event). This paper presents a new approach to realizing this logical localization objective. The proposed methodology...
In previous works the authors proposed to use hit-and-run versions of Markov-chain Monte-Carlo algorithms for various problems of control and optimization. In this paper we focus on robust stabilization applications of the method. The crucial notion for this algorithm is a boundary oracle (BO), and we start with constructing BO for robustness problems, including robust stability of polynomials and...
This two-part paper presents a new approach to predictive analysis for social processes. Part I identifies a class of social processes, called positive externality processes, which are both important and difficult to predict, and introduces a multi-scale, stochastic hybrid system modeling framework for these systems. In Part II of the paper we develop a systems theory-based, computationally tractable...
This paper considers the problem of constructing smoothing spline curves recursively each time when a new set of data is observed. The spline curves are constituted by employing an approach based on linear control systems. Based on the basic problem of optimal smoothing splines and an idea of recursive least squares method, a recursive design algorithm of optimal smoothing splines is developed. Assuming...
The risk-sensitive filter design problem with respect to the exponential mean-square criterion is considered for stochastic Gaussian systems with polynomial drift terms and intensity parameters multiplying diffusion terms in the state and observations equations. The closed-form suboptimal filtering algorithm is obtained by linearizing a nonlinear third degree polynomial system at the operating point...
A description and first implementation results for a ldquoCyber-physical laboratoryrdquo project performed jointly by the students of St.Petersburg State University and those of St.Petersburg Phys&Math Lyceum 239 are presented. The goal of the project is to create a complex of robotics and mechatronics networked devices based on LEGO Mindstorms NXT for application in universities and in high schools.
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