The paper presents the emerging field of integrated control and CPU-time scheduling, where more general scheduling models and methods that better suit the needs of control systems are developed. This creates possibili...
详细信息
ISBN:
(纸本)0780366387
The paper presents the emerging field of integrated control and CPU-time scheduling, where more general scheduling models and methods that better suit the needs of control systems are developed. This creates possibilities for dynamic and flexible integrated control and scheduling frameworks, where the control design methodology takes the availability of computing resources into account during design and allows online trade-offs between control performance and computing resource utilization.
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. We use work in behavioral theory for nD linear systems to characterize poles for the case of so-called discrete linea...
详细信息
ISBN:
(纸本)0780366387
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. We use work in behavioral theory for nD linear systems to characterize poles for the case of so-called discrete linear repetitive processes. A unique feature is that the resulting poles lead to a physically based interpretation of stability for these processes.
The emergence of intelligent control has seen a focus of attention on the ideas of learning control. This paper introduces the current state of the art in the area of iterative learning control (ILC). Together with a ...
The emergence of intelligent control has seen a focus of attention on the ideas of learning control. This paper introduces the current state of the art in the area of iterative learning control (ILC). Together with a general description of the problems that must be addressed, the paper explores the relationship between the performance of learning algorithms and the structure of the system to be controlled. The importance of system's relative degree (pole-zero excess) and the system's zeros are described and the role of prediction in improving performance is stated.
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite dur...
详细信息
ISBN:
(纸本)0780366387
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite duration with explicit interaction between the outputs, or pass profiles, produced as the process dynamics evolve. Experience has shown that these processes cannot be studied/controlled by direct application of existing theory. This fact, and the growing list of applications areas, has prompted an ongoing research programme into the development of a 'mature' systems theory for these processes for onward translation into reliable generally applicable controller design algorithms. This paper develops stability tests for a sub-class of so-called differential linear repetitive processes in the presence of a general set of initial conditions, where it is known that the structure of these conditions is critical to their stability properties.
The problem of identification/tracking of rapidly fading communication channels is considered. When the channel coefficients vary rapidly with time the most frequently used weighted least squares (WLS) and least mean ...
详细信息
The problem of identification/tracking of rapidly fading communication channels is considered. When the channel coefficients vary rapidly with time the most frequently used weighted least squares (WLS) and least mean squares (LMS) algorithms are not capable of tracking the changes satisfactorily. To obtain good estimation results one has to use more specialized adaptive filters, such as the basis function (BF) algorithms which are based on explicit models of parameter changes. Unfortunately, estimators of this kind are numerically very demanding. The paper introduces a new class of recursive algorithms which combine low computational requirements, typical of WLS and LMS filters, with very good tracking capabilities, typical of BF filters.
When system parameters vary rapidly with time the weighted least squares filters are not capable of following the changes satisfactorily-some more elaborate estimation schemes, based on the method of basis functions, ...
详细信息
When system parameters vary rapidly with time the weighted least squares filters are not capable of following the changes satisfactorily-some more elaborate estimation schemes, based on the method of basis functions, have to be used instead. The basis functions estimators have increased tracking capabilities but are computationally very demanding. The paper introduces a new class of adaptive filters, based on the concept of postfiltering, which have improved parameter tracking capabilities, typical of the basis functions algorithms, but, at the same time, have pretty low computational requirements, typical of the weighted least squares algorithms.
Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic ...
详细信息
Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic stability and stability along the pass respectively where the former is a necessary condition for the latter. Recently applications have arisen where asymptotic stability is too weak and stability along the pass is too strong for meaningful progress to be made. This paper develops the concept of strong practical stability for such cases.
Genetic algorithms are one of the effective algorithms for hard optimization problems. They can escape from the local minima, however, the amount of their computation is often large. To decrease the amount of the comp...
详细信息
Genetic algorithms are one of the effective algorithms for hard optimization problems. They can escape from the local minima, however, the amount of their computation is often large. To decrease the amount of the computation and enhance the algorithms, the uniform design is combined into the genetic algorithm. The new genetic operator has the local-search property similar to that in traditional optimization techniques and needs a minimal amount of computation in certain meanings. Thus the new genetic algorithm can generate a diversity of population and explore the search space effectively. Moreover, the new algorithm is globally convergent. The numerical results also show the effectiveness of the new algorithm with its less computation, and higher convergent speed for all test functions.
Combining position and force control is highly desirable in many robot applications. Many years of extensive research has resulted in a number of promising control approaches, but often too much engineering effort is ...
详细信息
Combining position and force control is highly desirable in many robot applications. Many years of extensive research has resulted in a number of promising control approaches, but often too much engineering effort is required in order to evaluate a low level (high performance) control scheme on a real manipulator. The new control system we have obtained has two main advantages: first it provides a total open control architecture, and second it is the simplicity and the interactivity of the platform developed. Using this new control architecture, any force and motion control strategy can be programmed and implemented in a graphical and easy way.
In this paper, a systematic design approach based on time-delay feedback is developed for chaotification of a continuous-time, feedback linearizable system. The chaotification is accomplished based on nonlinear contro...
详细信息
ISBN:
(纸本)0780364341
In this paper, a systematic design approach based on time-delay feedback is developed for chaotification of a continuous-time, feedback linearizable system. The chaotification is accomplished based on nonlinear control theory and an approximate relationship between a time-delay differential equation and a discrete map. An example is given to illustrate the systematic design procedure.
暂无评论