System Identification I

The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive systems,” etc. A basic concept which makes it possible to treat fuzziness in a quantitative manner is that of a fuzzy set, that is, a class in which there may be grades of membership intermediate between full membership and non-membership. Thus, a fuzzy set is characterized by a membership function which assigns to each object its grade of membership (a number lying between 0 and 1) in the fuzzy set. After a review of some of the relevant properties of fuzzy sets, the notions of a fuzzy system and a fuzzy class of systems are introduced and briefly analyzed. The paper closes with a section dealing with optimization under fuzzy constraints in which an approach to...

Fuzzy sets and systems

Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

The standard extended state observer based control (ESOBC) method is only applicable for a class of single-input-single-output essential-integral-chain systems with matched uncertainties. It is noticed that systems with nonintegral-chain form and mismatched uncertainties are more general and widely exist in practical engineering systems, where the standard ESOBC method is no longer available. To this end, it is imperative to explore new ESOBC approach for these systems to extend its applicability. By appropriately choosing a disturbance compensation gain, a generalized ESOBC (GESOBC) method is proposed for nonintegral-chain systems subject to mismatched uncertainties without any coordinate transformations. The proposed method is able to extend to multi-input-multi-output systems with almost no modification. Both numerical and application design examples demonstrate the feasibility and efficacy of the proposed method.

/pdf/generalized-extended-state-observer-based-control-for-hzsdfbl5ol.pdf

Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties

Feel lonely? What about reading books? Book is one of the greatest friends to accompany while in your lonely time. When you have no friends and activities somewhere and sometimes, reading book can be a great choice. This is not only for spending the time, it will increase the knowledge. Of course the b=benefits to take will relate to what kind of book that you are reading. And now, we will concern you to try reading modelling and control of robot manipulators as one of the reading material to finish quickly.

Modelling and Control of Robot Manipulators

This paper presents a self-tuning variable structure observer to estimate the fluxes and the speed of an induction motor. Firstly, assuming that the speed is a known smooth bounded function, a sliding mode observer is designed to estimate the rotor fluxes. Then, using Lyapunov's technique and following the design approach of Kubota et al. (1993), an adaptation law is derived to estimate the unknown speed. Experimental results obtained on a digital signal processor (DSP) TMS320C31/40 MHz-based system are presented to highlight the effectiveness of the proposed technique.

Adaptive sliding mode observer for state estimation of an induction motor on DSP-based system

In this paper a set of concepts to design mixed reality systems is presented. The principle of interaction space is proposed and then integrated in a development process, especially, to take into account the mixed reality specifications in the information system design. Models are elaborated to highlight relationships between business and interaction spaces. The development of the proposed method is presented on a case study.

HCI Knowledge in Software Engineering Practices for Designing Interactive Maintenance Assistance Systems

In this paper, the authors propose the hybrid control of Doubly Fed Induction Generator DFIG connected by rotor side to three multicellular converters. Each converter is considered with two cells and represented as a hybrid system with four modes of operation. Indirect control of stator active and reactive powers is used in order to generate the references of rotor currents in d-q axis reference frame. These currents will be maintained using hybrid control based on the determination of switching sequences from a mode of the converters to another based on the dynamics of the converter modes. The developed hybrid controllers allow decoupled control of the rotor currents.

Hybrid control of DFIG using multicellular converters

Abstract This paper proposes a robust nonlinear ship course controller, under the control of which the system is globally asymptotically stabilized with high control quality. The proposed controller is synthesized by combining coefficient diagram method and command filtered backstepping based on first order filter to avoid the complex analytic derivation of the virtual control, the controller parameter are tuned using radial basis function neural network, It can not only obtain a higher accuracy in ship course controlling, but also infinitely approach the nonlinear system with quicker and more stable convergence. The simulation results illustrate that the projected controller shortens the settling time evidently with good system stability. It has a better performance than the traditional controllers.

Performance Optimization of Ship Course Via Artificial Neural Network and Command Filtered Cdm-Backstepping Controller

In this paper, a design of robust controller based on Coefficient diagram method is investigated, to be used to control the outlet temperature of a solar plant based on cylindrical-parabolic collectors. It is noted that although the responses of the control system satisfy both transient and steady state specifications, the transient response generally still has long response time. In order to improve the speed of the system response, a PID controller is added into the controller designed by CDM. The design of both of CDM and PID controllers is done with a linearization of the nonlinear uncertain system described by two Partial differential equations around an operating point of the real system, then the designed controllers will be applied to the nonlinear system. The simulation results show that the performance of the controller based on CDM combined with PID has short response time, with no overshoot and the best perturbation rejection properties.

Mohamed Tadjine

Papers

Adaptive sliding mode observer for state estimation of an induction motor on DSP-based system

HCI Knowledge in Software Engineering Practices for Designing Interactive Maintenance Assistance Systems

Hybrid control of DFIG using multicellular converters

Performance Optimization of Ship Course Via Artificial Neural Network and Command Filtered Cdm-Backstepping Controller

Robust controller design for solar plant using extended Coefficient diagram method (CDM) incorporating PID