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 new formation control methodology modelled by a virtual tendon-driven system using the tensegrity structures is presented. The objective of the work is to regulate the formation of unmanned vehicles within the communications bandwidth and perform point-to-point manoeuvring tasks. The reaction control forces that are experienced by vehicles in the formation are determined by the admissible tendon...
Polymer extrusion is one of the final forming stages in the production of many polymeric products in a variety of applications. It is also an intermediate processing step in injection moulded, blown film, thermo-formed, and blow moulded products. However, polymer extrusion is a complex process which is difficult to set up, monitor, and control. As a consequence, high levels of off- specification products...
In this paper, the optimal bandwidth allocation scheduling problem for two-layer networked learning control systems (NLCSs) is studied. In NLCS, multiple networked feedback control loops share a common communication channel and they compete to bid for available bandwidth. A non-cooperative game fairness model is first formulated, which takes into consideration of a number of factors, such as transmission...
This paper proposes a new nonlinear optimization algorithm for the construction of radial basis function (RBF) networks in modelling nonlinear systems. The main objective is to speed up the learning convergence of the conventional conjugate gradient method. All the hidden layer parameters of RBF networks are simultaneously optimized by the conjugate gradient method while the output weights are adjusted...
The injection stretch-blow Moulding (ISBM) process is typically used to manufacture PET containers for the beverage and consumer goods industry. The process is somehow complex and users often have to heavily rely on trial and error methods to setup and control it. In this paper, a novel identification method based on a radial basis function (RBF) network model and heuristic optimization methods, such...
Congestion is a problem in real networks. Users do not want to lose information and data should be delivered as fast and reliably as possible. This is really difficult to achieve. Moreover, networks work in changing environments: number of users, type of traffic, delays in transmission, etc. So this paper presents how to design PID controllers that take network changes into account. Non-linear simulations...
An output feedback model reference adaptive controller is developed for a class of linear systems with multiple unknown time-varying state delays and in the presence of actuator failures. The adaptive controller is designed based on SPR-Lyapunov approach and is robust with respect to multiple unknown time-varying plant delays and to an external disturbance with unknown bounds. Closed-loop system stability...
The High Redundancy Actuator (HRA) concept aims to provide a single actuator comprising many cooperating actuation elements. The potential benefits of this include improved overall reliability, availability, and reduced need for oversizing of actuators in safety critical applications. This paper deals with the question of distributing the load evenly between a stack of elements despite non-linear...
For the chaotic systems with uncertain parameters and stochastic disturbance, in order to satisfy some optimal performance index when chaos control is achieved, the Lyapunov-based model predictive control (LMPC) is introduced. The LMPC scheme is concerned with an auxiliary controller which is constructed in advance. Based on the auxiliary controller and stochastic stability theory, it is shown that...
This paper evaluates the possibility of applying a geno-fuzzy control strategy to a magnetorheological semi-active damper for seismic vibration control. The proposed control starategy is designed and then tested and validated in a simulated environment. The control strategy is validated by considering a more destructive seismic disturbance as input for the damper-structure system. The proposed geno-fuzzy...
In this paper, a finite-horizon optimal control scheme for a class of nonlinear systems with saturating actuator is proposed by an improved iterative adaptive dynamic programming (ADP) algorithm. The Hamilton-Jacobi-Bellman (HJB) equation corresponding to constrained control is formulated using a suitable nonquadratic function. Then mathematical analysis of the convergence is presented, by proving...
This paper presents a method for actively controlling torsional vibrations in rotating machines caused by angle-dependent parameters. The work is motivated by rotating machines with crank or cam gear mechanisms that cause fluctuations in the angular speed when the machine is driven by a constant load torque or when the speed is controlled with conventional controllers. A very general model for such...
This paper proposes a systematic adaptive sliding mode controller design for the decentralized system with nonlinear interactions and unmatched uncertainties. An adaptive tuning approach is developed to deal with unknown but bounded uncertainties/interactions. The sliding surface is designed which obviates the use of regular transformation, by solving a simple LMI-based optimization problem. The feasibility...
This paper presents a novel decoupling method for multivariable systems with disturbances. In this method, the undesirable coupling parts in each loop are treated as the output disturbances. These disturbances, as well as the external disturbances, can be actively rejected by the equivalent-input-disturbance (EID) approach. The parameters of the controller in each loop can be designed independent...
The problem of robust decentralization of uncertain inter-connected systems is concerned with the goal of de-coupling a Lipschitz non-linear systems into individual “decentralized” subsystems satisfying security and fault-tolerance objectives. This work proposes a new strategy for robust decentralized control in which each subsystem uses an observer-based state estimate structure invoking an approach...
This paper proposes a new variable gain controller for a class of uncertain linear systems. The proposed variable gain controller is based on optimal control for the nominal system and consists of the optimal feedback gain and a time-varying adjustable parameter which is designed so as to reduce the effect of uncertainties, i.e. the proposed variable gain controller can achieve good transient performance...
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.