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.
A method is offered to avoid the musculoskeletal disorders (MSDs) caused by electric tools and improve overall comfort. According to the method, The electric tool grips are designed according to the pressed human surfaces. The grips are replaced by clay models first. When holding the models, human body surfaces are deformed and recorded by clay surfaces. Simplify and rebuild the surfaces. Rapid prototyping...
The tracking control problem of muscular vessel systems with dynamic uncertainties and unknown parameters is studied. The unknown system parameters are adaptively identified, and the exogenous disturbance is attenuated by Nussbaum-type functions based on the backstepping methods. The derived adaptive robust controller guarantees that the closed-loop system is globally and uniformly bounded, and the...
In this paper, we design an image-based robust controller to compensate uncertainties with image Jacobian and robot dynamics due to uncertain depth measurement and load variations. The proposed controller with eye-in-hand structure has separate terms to compensate each of uncertainties. The ultimately uniform boundedness of the closed-loop system is proved by the Lyapunov method. The performance of...
This paper focuses on controller design for a closed-loop scanning tunneling microscope to deal with fast variations in sample surface. A linear approximation approach is used to deal with non-linearities. The desired performances are then achieved by a controller design based on pole placement with sensitivity function shaping using second order digital notch filters. The corresponding simulation...
A robotic manipulation system for automated selection and transfer of individual living cells of interest to analysis locations is presented. The system is the first in a series of operational components comprising an integrated system for the analysis of cell expression and metabolism at the single cell level. In our approach, we begin with a commonly used cell transfer technique, which uses glass...
This paper proposes a neural network based traffic signal controller, which eliminates most of the problems associated with TRPS mode of the closed loop system. Instead of storing timing plans for different traffic scenarios, which requires clustering and threshold calculations, the proposed approach uses an ANN model that produces optimal plans based on optimized weights obtained through its learning...
Electrostatically actuated torsional micromirror fabricated using microelectromechanical systems (MEMS) technology is a fundamental building block for many optical network applications, such as optical wavelength-selective switch, configurable optical add-drop multiplexers and optical cross-connects. The major technical obstacle to achieve its full potentials in both functionalities and performance...
This papers proposes a novel climate control strategy for mine extraction rooms based on the receding horizon optimal control scheme. Being a model-based procedure, the development of a pertinent prediction model is one of the keystones. According to recent technological advances, we consider that distributed measurements are available and provided by a wireless network. An enhanced modeling approach,...
This paper addresses the development of an optimal model predictive control system for quasi-keyhole arc pipe welding process (QAPWP). To this end, a single input two output (SITO) linear discrete model structure is proposed through mechanism analysis. Its parameters are identified offline and updated online. An optimal model predictive control (MPC) algorithm is designed to control the process. Closed-loop...
We address a wireless networked control problem for a mine ventilation system. Ventilation control is essential for the control of the operation of a mine for safety and energy optimization. The main control objective is to guarantee safety of the closed loop system. This test-case is simple enough to be computationally tractable, and yet it exposes the main difficulties encountered when using wireless...
Although the control of an FCC plant includes all the hardware components of the process, it is at the FCC reactor-regenerator system that the control is the most critical. This is mainly due to the strong interaction between the reactor and regenerator units. As a result, the reactor-regenerator system presents a highly nonlinear behavior and is therefore a challenge for control tasks. This paper...
In this paper, we consider the dynamic modeling and the practical implementation of an autonomous dynamic positioning scheme, i.e., the stabilization of linear and angular velocities as well as the position and orientation, of a floating sea triangular platform. The required, closed-loop force and moment must be provided by three rotating pump jets, located at the bottom of three partly submerged...
In this paper control theoretic approach is applied to design a new, optimal flow controller for multi-source connection-oriented communication networks. The networks are modeled as discrete time, n-th order systems. On the basis of the system state space description, a feedback control law is derived by minimizing linear quadratic (LQ) cost functional. Closed loop system stability is demonstrated,...
This paper addresses the design of a reliable control system for a linear, asymptotically stable plant. Specifically, the considered problem consists of finding a compensator which, besides guaranteeing closed loop asymptotic stability and zero error regulation when all the instrumentation is in operation, also ensures that these properties are preserved, at their maximum possible extent, when some...
We consider the adaptive control problem for a class of SISO unknown nonlinear systems in the presence of additive input disturbances, with guaranteed prescribed performance. By prescribed performance we mean that the tracking error should converge to an arbitrarily predefined small residual set, with convergence rate no less than a prespecified value, exhibiting a maximum overshoot less than a sufficiently...
This paper presents a direct adaptive fuzzy control scheme for a class of uncertain single-input single-output nonlinear systems subject to input amplitude and rate saturation constraints. The fuzzy controller is designed to mimic an ideal controller which is assumed guarantying the control objective. The free parameters of the fuzzy controller are adjusted by an adaptive law which prevents the presence...
A robust asymptotic output command tracking controller is proposed to control the longitudinal motion of an aircraft model involving atmospheric gusts. The controller covers various flight conditions. The stability derivatives of the aircraft and the velocity of the aircraft are considered to be uncertain parameters. The output of the closed loop system tracks step and ramp type reference signals...
The object of this paper is to revisit the results of P. Bernhard (J. Optim. Theory Appl. 27 (1979), 51-69) on two-person zero-sum linear quadratic differential games and generalize them to utility functions without positivity assumptions on the matrices acting on the state variable in the utility function and to linear dynamics with bounded measurable data matrices. We consider both open and closed...
The paper presents a new discrete time sliding mode flow control algorithm for connection-oriented communication networks. The networks are modeled as discrete time systems with the available bandwidth acting as disturbance. The algorithm employs a time-varying sliding plane, which helps reduce the initial flow rate magnitude. The plane parameters are determined so that the closed-loop system stability...
The message scheduling is an essential mechanism in the context of networked control systems (NCS). It strongly influences the stability of the closed loop distributed control applications. The goal of this paper is to present a study of different priority schemes which can be used for the message scheduling of a process control application implemented through a network (the network CAN will be considered)...
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.