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.
The following topics are dealt with: adaptive control; stability and control of time-delay systems; aerospace applications; agent networks; filtering and observer design; stability and control of hybrid and singular systems; networked control systems; tracking; stability of delay systems; UAVs and flight control; agents and autonomous systems; estimation; linear matrix equality methods; control over...
A unified recursive approach to i) identification for systems like ARMAX, nonlinear ARX, and others, and to ii) adaptive regulation of Hammerstein and Wiener systems is presented. By this method the problem under consideration is transformed to a root-seeking problem, to which the Robbins-Monro (RM) algorithm, the classical stochastic approximation (SA) algorithm, aiming at seeking for roots of an...
Summary form only given. Living organisms learn by acting on their environment, observing the resulting reward stimulus, and adjusting their actions accordingly to improve the reward. This action-based or reinforcement learning can capture notions of optimal behavior occurring in natural systems. We describe mathematical formulations for reinforcement learning and a practical implementation method...
In general, the position control of electro-hydraulic actuator(EHA) systems is difficult because of the large variation of the effective bulk modulus of the working fluid, which is due to the absence of a heat exchanger like a reservoir tank, a friction between the cylinder and piston, and an external disturbance force. Moreover, it is difficult to identify the values of the effective bulk modulus...
Recently the control of hybrid system has attracted many research efforts. However, few studies have been made on hybrid systems with unknown parameters. In this paper, adaptive controller design is explored for a class of hybrid systems called piecewise linear systems, based on the concept of the polynomial constraints which can decouple the model parameters from the inference of the discrete state...
This paper studies the global states regulation problem via output feedback for a class of uncertain nonlinear systems and a class of their cascade systems. The uncertain nonlinear perturbed terms of the considered systems are assumed to satisfy a generalized condition which is related to an unknown constant and is more relaxed than the existing triangular-type condition. Due to the presence of unknown...
In this paper, a design method of adaptive output feedback controller for nonlinear systems with higher order relative degree and some uncertainties in control input term is proposed. The controlled systems are rendered the systems with a relative degree of one by introducing two different virtual filters and applying a variable transformation. The actual control input is designed so that the virtual...
This paper presents a new switching adaptive control strategy for a class of uncertain linear time-varying systems. Small-gain theorem is used for stability of the system without uncertainties. The uncertainties in the system are considered on discrete sets. The switching logic is designed based on the relationship between passivity and the adaptive systems, such that in the process of switching control,...
In this paper, two robust adaptive control schemes are proposed for a class of uncertain nonlinear systems in a Brunovsky form with unknown dead-zone and sector nonlinearity. The design is based on the principle of sliding mode control and the use of Nussbaum-type function in solving the problem of the completely unknown control gain. The novel description of input nonlinearity which makes the control...
In this paper, a hybrid control strategy, variable universe adaptive fuzzy sliding mode control, is proposed to realize the chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as...
In this paper we develop a general discrete-time adaptive control approach suitable for nonlinear systems with periodic parametric uncertainties. The underlying idea of the new approach is to convert the periodic parameters into an augmented constant parametric vector by a lifting technique. As such, the well-established discrete-time adaptive control schemes can be easily applied to various control...
Motion control systems have found their application in various industry products. Common issues encountered when designing this type of systems are nonlinearities and uncertainties (e.g., unknown parameters, unmodeled dynamics, and disturbances). In this paper, we study controller design for a class of motion systems with rotary components. The systems are assumed to have unknown parameters which...
In this paper, a new robust Iterative Learning Control (ILC) algorithm has been proposed for linear systems in the presence of iteration-varying parametric uncertainties. The robust ILC design is formulated as a min-max problem using a quadratic performance criterion subject to constraints of the control input update. An upper bound of the maximization problem is derived, then, the solution of the...
In this paper, we present an iterative learning controller for interconnected nonlinear nonaffine systems with repeatable control tasks. A local learning controller for each subsystem is constructed by a fuzzy neural learning component and a robust learning component to adaptively compensate for the nonaffine nonlinearities and interconnections. The fuzzy neural learning component is designed based...
In this paper, interconnected iterative learning control loops are used to drive the output of general multi-input-multi-output nonlinear systems with general input uncertainties to the desired output. New convergence conditions are obtained to ensure the convergence of the overall system. A simulation example shows the effectiveness of the proposed method.
Nowadays congestion control problem of the intermediate nodes in the Internet has received extensively attention in networking and control community. In this paper, a novel adaptive PID (Proportional-Integral-Differential) controller based on neural networks for the problem of AQM with ECN marks is presented. Considering a previously developed nonlinear dynamic model of TCP/AQM system and the queue...
A neuro-fuzzy adaptive control approach for nonlinear dynamical systems, which are coupled with unknown dynamics, modeling errors, and various sorts of disturbances, is proposed and used to design a wheel slip regulating controller. The implemented control structure consists of a conventional controller and a neuro-fuzzy network-based feedback controller. The former is provided both to guarantee global...
PID controllers are popular in industrial applications, as they are easy to install and reasonably robust. However, for highly nonlinear systems, the performance of PID controllers can deteriorate quite fast. It is necessary to develop nonlinear PID controllers for controlling nonlinear processes. An approach to design these controllers is to switch between several linear PID controllers using fuzzy...
Feedback controllers that automatically counteract the effects of adversarial interventions on the operation of asynchronous sequential machines are considered. Bursts - fast outbursts of characters generated by the controlled machine during transitions - are employed to broaden the conditions under which such controllers exist. Included are necessary and sufficient conditions for the existence of...
Suppose an unknown or only partially identified plant is operating with a known linear controller in a closed-loop, and the use of a known nonlinear controller appears attractive to replace the existing controller, on the basis of limited knowledge of the plant. We apply our novel data-based verification tests for ensuring that the introduction of the new nonlinear controller will stabilize the true...
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.