We have four small mobile hexapods. Each hexapod has almost no brain, but can communicate via radio with a PC, using a limited set of digital messages. The hexapods know how to move, and can detect obstacles and some ...
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We have four small mobile hexapods. Each hexapod has almost no brain, but can communicate via radio with a PC, using a limited set of digital messages. The hexapods know how to move, and can detect obstacles and some kind of objects. We have four PCs, one for each hexapod (so each hexapod has a helping brain). The PCs are interconnected using the parallel port. We can assign a task for the team, for instance to explore a field. The PCs must work in a coordinated way, exchanging messages. The development of this experimental scenario has been the subject of several projects done by students involved in robotics and computer science. One of the aspects covered is the use of real time operating systems for the PCs to work together. Other aspects are related with mobile robotics and the behavior of insectoids. The general set-up has been completed recently, and a new project will start to accomplish a task and study the results. An object oriented simulation is also another new project, which will be validated against the experimental results. Every project must generate documentation for others to use it. In general, the idea is to establish an interesting challenge, with obvious results. The paper presents the main educational objectives, and describes the chief parts of the experimental set-up: robots and PCs, interconnection characteristics. Then, the paper focuses on the projects done and under way, with emphasis on the pedagogical impact.
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...
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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...
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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.
This paper presents an interface for the interaction between a human and an adapted kitchen where different elements, including a robot, have to be controlled. After the global structure of the interface is described ...
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This paper presents an interface for the interaction between a human and an adapted kitchen where different elements, including a robot, have to be controlled. After the global structure of the interface is described a more detailed explanation is presented on the way the interface offers the user an easy and friendly way to select the desired objects and to provide their position to the robot for their manipulation.
In this paper we will describe the development of models for prediction of powertrain performance. Our goal is to develop a library of components to model combustion, gas dynamics and mechanical response. We will also...
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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 ...
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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, ...
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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.
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...
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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.
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...
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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.
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