Markovian real-time adaptive control of signal systems
نویسندگان
چکیده
منابع مشابه
Markovian Delay Prediction-Based Control of Networked Systems
A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...
متن کاملDetecting and counting vehicles using adaptive background subtraction and morphological operators in real time systems
vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...
متن کاملGenetic Algorithms for Adaptive Real-Time Control in Space Systems
The U.S. Space Station planned for the 90's will comprise a large number of interacting control systems, a situation which will be too complex for humans to deal with without the aid of knowledge based systems. However, current knowledge based systems have two undesirable aspects. Brittleness: problem-solving performance degrades precipitously when the system is operating outside its intended d...
متن کامل1 Adaptive Concurrency Control in Distributed Real - Time Systems
We present a novel transaction model for distributed safety-critical real-time applications. Transactions become increasingly critical under failures of subsequent incarnations. When a transaction-dependent criticality threshold has been reached the transaction is considered essentially critical or hard, i.e. the deadline has to be met lest the system is doomed to be in a disastrous state. The ...
متن کاملDecentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks
In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...
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: Mathematical and Computer Modelling
سال: 1995
ISSN: 0895-7177
DOI: 10.1016/0895-7177(95)00144-q