Adaptive control with finite settling time
Adaptive fuzzy tracking control for a permanent magnet synchronous motor via backstepping approach.
Adaptive modeling of reliability properties for control and supervision purposes
Modeling of reliability characteristics typically assumes that components and systems fail if a certain individual damage level is exceeded. Every (mechanical) system damage increases irreversibly due to employed loading and (mechanical) stress, respectively. The main issue of damage estimation is adequate determination of the actual state-of-damage. Several mathematical modeling approaches are known in the literature, focusing on the task of how loading effects damage progression (e.g., Wöhler,...
Adaptive Newton-like method for shape optimization
Adaptive prediction of stock exchange indices by state space wavelet networks
The paper considers the forecasting of the Warsaw Stock Exchange price index WIG20 by applying a state space wavelet network model of the index price. The approach can be applied to the development of tools for predicting changes of other economic indicators, especially stock exchange indices. The paper presents a general state space wavelet network model and the underlying principles. The model is applied to produce one session ahead and five sessions ahead adaptive predictors of the WIG20 index...
Adaptive stabilization of continuous-time systems guaranteeing the controllability of a modified estimation model.
Adaptive stabilization of continuous-time systems through a controllable modified estimation model.
Adaptive step-size control in simulation of diffusive CVD processes.
Adaptive teleoperation system with neural network-based multiple model control.
An adaptive control problem in discrete time
An adaptive output feedback motion tracking controller for robot manipulators: uniform global asymptotic stability and experimentation
This paper deals with two important practical problems in motion control of robot manipulators: the measurement of joint velocities, which often results in noisy signals, and the uncertainty of parameters of the dynamic model. Adaptive output feedback controllers have been proposed in the literature in order to deal with these problems. In this paper, we prove for the first time that Uniform Global Asymptotic Stability (UGAS) can be obtained from an adaptive output feedback tracking controller,...
An extended version of average Markov decision processes on discrete spaces under fuzzy environment
The article presents an extension of the theory of standard Markov decision processes on discrete spaces and with the average cost as the objective function which permits to take into account a fuzzy average cost of a trapezoidal type. In this context, the fuzzy optimal control problem is considered with respect to two cases: the max-order of the fuzzy numbers and the average ranking order of the trapezoidal fuzzy numbers. Each of these cases extends the standard optimal control problem, and for...
Approximation and adaptive control of Markov processes: Average reward criterion
Attitude observer-based robust control for a twin rotor system
In this paper, an angular tracking control based on adaptive super twisting algorithm (ASTA) for a Twin Rotor System is presented. With the aim of implementing the ASTA control and taking into consideration the difficulties of measuring some of its states, a Nonlinear Extended State Observer (NESO) is employed to estimate the vector state and furthermore unmeasured dynamics. This scheme increases robustness against unmodeled dynamics and external disturbance, reducing modeling difficulties due to...
Bifurcations and chaos in a periodically forced prototype adaptive control system
Bursting scenaria in adaptive algorithms: performance limitations and some remedies
Chaotic behavior and modified function projective synchronization of a simple system with one stable equilibrium
By introducing a feedback control to a proposed Sprott E system, an extremely complex chaotic attractor with only one stable equilibrium is derived. The system evolves into periodic and chaotic behaviors by detailed numerical as well as theoretical analysis. Analysis results show that chaos also can be generated via a period-doubling bifurcation when the system has one and only one stable equilibrium. Based on Lyapunov stability theory, the adaptive control law and the parameter update law are derived...
Contribution to prior tuning of LQG selftuners
Control error dynamic modification as an efficient tool for reduction of effects introduced by actuator constraints
A modification of digital controller algorithms, based on the introduction of a virtual reference value, which never exceeds active constraints in the actuator output is presented and investigated for some algorithms used in single-loop control systems. This idea, derived from virtual modification of a control error, can be used in digital control systems subjected to both magnitude and rate constraints. The modification is introduced in the form of on-line adaptation to the control task. Hence...
Control of initially unknown plants