OPEN-LOOP AND CLOSED-LOOP IDENTIFICATION OF MODEL ERROR HARD BOUND IN FREQUENCY DOMAIN
نویسندگان
چکیده
منابع مشابه
Process Identification Using Open-loop and Closed-loop Step Responses
This paper is concerned with process identification by curve fitting step responses. Both open-loop and closed-loop identification are studied using simulated data for typical examples as well as experimental data from a laboratory plate heat exchanger. Timedomain curve fitting utilizing efficient local optimization techniques is employed to find the parameters of the process model. Process mod...
متن کاملBounded-error identification for closed-loop systems
This paper presents a scheme for the identification of a system which operates in closed-loop and in the presence of bounded output disturbances. Two algorithms are proposed to solve this identification problem. The first algorithm is an Optimal Bounding Ellipsoid (OBE) type algorithm. This first algorithm is analyzed and sufficient conditions for stability and convergence are established. Rela...
متن کاملClosed Loop Frequency Domain Identification of Fractional Model Representations using a Maximum Amplitude Criterion
An iterative scheme of identification and model based control design can be used to tackle the problem of designing an enhanced and robust control system for a plant with unknown dynamics (Schrama 1992). In such an iterative scheme, closed loop experimental conditions are indispensable to obtain data from the (possibly unstable) plant. However, by employing the knowledge of the controller used ...
متن کاملLearning open-loop from closed-loop control
This paper explores an evolution from closed-loop control to open-loop control for a planar manipula-tor. A reinforcement learning strategy is used to learn the open-loop commands from the closed-loop control. The goal is to produce a motion using purely open-loop control strategy, thereby eliminating the need for inter-link communication and on-line control computations. Initially closed loop ...
متن کاملPrediction Error Vs Subspace Methods in Closed Loop Identification
In this paper we investigate the role of the predictor in subspace identification. We shall see that it is the key object which allows to construct realization procedures which ideally work regardless of the presence of feedback. We discuss this point in some detail.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 1994
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.1994.229