摘要:

This paper is an attempt to tackle the problem of the characterization of the response of a dynamical system submitted to inputs represented by intervals, its initial state and some of its parameters also possibly being described in that way. Such a problem may occur when some parts of a complex device are modelized numerically and receive as inputs some signals provided by the qualitative simulation of other—often ill-known—parts. The proposed approach imbeds it in optimal control problems with constraints. This allows a full treatment of continuous time-invariant systems and leads to a well-posed optimization problem in the general case. Some application results for elementary systems with interval-valued parameters are given, and a first stage in the treatment of QSIM-like inputs is discussed. All the required theoretic background in optimal control theory is detailed so that the paper is self-contained.

ISSN:0883-9514    

DOI:10.1080/08839519508945485

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

In event-based control, a controller checks the responses of sensors about commands with time constraints. To do this, the event-based controller should have some information about the dynamics of the plant at discrete levels, its desired state transitions, and inputs to move the state transitions. In an existing modelling method, the information is represented by a tabular form, which is not adaptable to the variation of set positions. An artificial neural network was taken as a new modelling method to solve this problem. Experiments show that this neural network model works well in the dynamic variation of set positions. This endomorphic neural network modelling helps us to construct a more autonomous event-based controller.

ISSN:0883-9514    

DOI:10.1080/08839519508945486

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

This paper presents a model for space in which an autonomous agent acquires information about its environment. The agent uses a predefined exploration strategy to build a map allowing it to navigate and deduce relationships between points in space. The shapes of objects in the environment are represented qualitatively. This shape information is deduced from the agent's motion. Normally, in a qualitative model, directional information degrades under transitive deduction. By reasoning about the shape of the environment, the agent can match visual events to points on the objects. This strengthens the model by allowing further relationships to be deduced. In particular, points that are separated by long distances, or complex surfaces, can be related by line-of-sight. These relationships are deduced without incorporating any metric information into the model. Examples are given to demonstrate the use of the model.

ISSN:0883-9514    

DOI:10.1080/08839519508945487

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

Intelligent agents designed to perform in the real world should by definition be tested and evaluated in the real world. However, this is impossible in many situations. A lack of resources may rule out construction of a complete robotic environment for example, or the desired domain may be physically inaccessible for testing. In such situations, the use of a simulation system to provide an environment in which to test and examine the intelligent system is necessitated. In the past, such systems have acquired a poor reputation within the artificial intelligence community, mainly due to the sometimes grandiose claims of systems that are tested solely under simulated conditions. In this paper the conditions under which simulation is justified are explored: the inadequacies of currently available systems for the testing and examination of intelligent agents are examined; and Gensim, a new system designed to address these inadequacies, is described. Rather than providing a single, parameterized domain, Gensim provides a collection of facilities allowing users to design complete environments for examining and testing intelligent agents. The system also provides a clean interface, allowing widely differing types of agents to be studied. While some bias is unavoidable, these facilities are designed to be as widely applicable as possible.

ISSN:0883-9514    

DOI:10.1080/08839519508945488

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519508945484

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor