The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This contribution presents a new method for the prevention of problems caused by saturating sensors in an otherwise linear loop. Different from the known anti-windup schemes for input constraints the compensator is not stabilized during saturation, as this can lead to a deadlock situation in case of persistent disturbances. The new approach also does not use the modification of the linear part of...
The paper provides modifications of the bounded real lemma application in the state feedback control design for discrete-time linear systems. This feasible task is formulated as an enhanced algorithm, applicable in the closed-loop control structure stability analyze and suitable in design of the control law matrix parameters. In relation to existing forms, the proposed method maintains the principle...
Our paper deals with the observer-based output feedback gain-scheduled controller design which ensures closed-loop stability and guaranteed cost for all scheduled parameter changes. The novel procedure is based on LPV paradigm, Lyapunov theory of stability and guaranteed cost from LQ theory. To access the performance quality a quadratic cost function is used. The obtained design procedures are in...
The paper presents a new explicit and non-redundant parametrization of all state-derivative feedbacks assigning the required Jordan form to the dynamic matrix of the closed loop system. The proposed parametrization can be simply and effectively used for both numerical and symbolic calculations of the state-derivative feedbacks, and also for robust stability and robust performance optimizing.
A specific efficient solution of constrained system outputs is presented. The solution is based on on-line weighting of individual system outputs or output components representing in fact a specific on-line tuning/applification of the components of weighting control parameters. Thus, the predictive control design retains flexibility without any increase of time-computational demands. The proposed...
This paper describes the development of nonlinear state-space predictive controller based on distributed fuzzy-neural model. The presented approach assumes a state-space representation in order to obtain more compact form of the model, without statement of a great number of parameters needed to represent nonlinear relations. To increase the flexibility of the network, a set of fuzzy inferences is...
Various kinds of processes can be controlled using predictive control. In certain cases of predictive control of fast-dynamics processes, a predictive control algorithm may not be feasible within the sampling-period time. These situations occur when requirements on control are more complex. For higher horizons and many constraints on control variables, the overloading of the sampling period can occur...
Over the last decade, anesthesia research community witnessed numerous advances in controllers and their implementation platforms to control the depth of anesthesia (DoA) in a patient undergoing surgery. Today's operating theaters are extremely complex and crowded. New surgical techniques bring new medical technologies and more devices in the operation rooms, which often results in complex configurations,...
For a network of identical linear objects an output synchronization problem is considered. Problem of synchronization is solved under conditions of incomplete measurements, incomplete control and without constructing observers. Parameters of of static controller and sufficient synchronization conditions are obtained by means of passification method.
This paper surveys some recent results in identical system state synchronization. Design methods are given for distributed synchronization control of continuous and discrete-time multi-agent systems on directed communication graphs. The graph properties complicate the design of synchronization controllers due to an interplay between the eigenvalues of the graph Laplacian matrix and the required stabilizing...
This paper presents a concept of the continuous-time gain scheduled 2DOF control for the nonlinear system of two funnel liquid tanks in series, based on linearization of nonlinear equations of the system about selected operating points. Discussed technique extends the idea of design via linearization approach. In order to achieve desired stability and performance requirements, a linear feedback controller...
In this paper, we focus on robust decentralized controller design for Benchmark PID problem brought recently by Morilla [5]: nonlinear drum boiler, having integration term and significant right half plane (RHP) zero in the interaction. We present the linearized uncertain model identified for the working area determined by working points. Robust decentralized controller is designed by Equivalent Subsystem...
In this paper we present a hierarchical control structure for dynamic management of electrical power networks with distributed generation and storage. The proposed control structure consists of three layers. At the upper level a (dynamic) Optimal Power Flow (OPF) solver computes the optimal power references for distributed generators and storages at slow rate. These references are then transmitted...
This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify and accelerate the calculation of optimal control inputs. By shifting majority of the computational effort off-line, the concept of explicit MPC offers a significantly faster and cheaper implementation of model...
This paper deals with a multi-objective optimization of a general batch diafiltration process in the presence of fouling. Fouling, as one of the major problems in the membrane separation process, causes the decrease in the membrane area and thus the decrease in the filtration rate. The optimization problem considers a weighted combination of objectives for minimum-time and minimum-diluant operation...
This study concerns modelling, time optimisation, and energy optimisation of batch ultrafiltration/diafiltration processes with partial recirculation of retentate. The process model explains the process work-flow, its complexity, and the state differential equations. The optimisation part deals with minimisation of time and minimisation of energy using two control inputs. The theory for control trajectory...
This article presents the collision-free manipulation of a robotic arm mounted to a mobile robotic unit, using the MS Windows Kinect 3D optical camera system. The 3D optical system is used to recognize objects, aiding the collision-free manipulation of the said objects with the arm of a mobile robotic system (MRS). The placement of the optical system directly on the robotic arm is essential to ensure...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.