A dynamic programming algorithm for cache memory partitioning for real-time systems

1993 ◽  
Vol 42 (8) ◽  
pp. 997-1001 ◽  
Author(s):  
J.E. Sasinowski ◽  
J.K. Strosnider
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Dynamic Programming Algorithm ◽  
Cache Memory ◽  
Programming Algorithm ◽  
Real Time Systems ◽  
Time Systems

Optimal Flight Path Planning of Cruising Phase with No-Fly Zone Constraints Based on Dynamic Programming Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 5911-5917
Author(s):  
Su Xiao Wang ◽  
Yong Sheng Yang ◽  
Zhong Liang Jing
Keyword(s):  
Dynamic Programming ◽  
Path Planning ◽  
Real Time ◽  
Optimal Path ◽  
Dynamic Programming Algorithm ◽  
Optimization Method ◽  
Flight Path ◽  
Programming Algorithm ◽  
Effective Implementation ◽  
Arbitrary Selection

The purpose of flight path planning is to find the optimal path from the real-time and conflict-free airspace to meet the targets, according to one or several performance index. Effective avoiding the no-fly zones, such as the areas of martial movement and the areas of rain and thunderstorm, has great significance to the current flight management system (FMS) that is real-time and effective implementation of the flight plan. The dynamic optimization method of level route based on DP (Dynamic Programming) algorithm without no-fly zone constraints is discussed. Quick and effective to find out an optimal path from the waypoints of arbitrary selection and input can be realized. On this basis, the situation of adding no-fly zone constraints is focused on. In order to ensure that the aircraft is able to effectively avoid no-fly zone constraints in actual flight, Gauss Kruger projection method to convert geographic coordinates to plane coordinates is adopted. Simulation results show that the method used can not only effectively avoid no-fly zone constraints, and the path passed is still optimal.

The Use of Cache Memory in Real-Time Systems

1996 ◽  
Vol 29 (6) ◽  
pp. 123-129
Author(s):  
M.K. Milligan ◽  
H.G. Cragon
Keyword(s):  
Real Time ◽  
Cache Memory ◽  
Real Time Systems ◽  
Time Systems

Approximate Stochastic Differential Dynamic Programming for Hybrid Vehicle Energy Management

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Kyle Williams ◽  
Monika Ivantysynova
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Energy Management ◽  
Environmental Protection Agency ◽  
Dynamic Programming Algorithm ◽  
Hybrid Vehicle ◽  
Programming Algorithm ◽  
Differential Dynamic Programming ◽  
Hydraulic Hybrid ◽  
Behavior Learning

This paper develops a new computational approach for energy management in a hydraulic hybrid vehicle. The developed algorithm, called approximate stochastic differential dynamic programming (ASDDP) is a variant of the classic differential dynamic programming algorithm. The simulation results are discussed for two Environmental Protection Agency drive cycles and one real world cycle based on collected data. Flexibility of the ASDDP algorithm is demonstrated as real-time driver behavior learning, and forecasted road grade information are incorporated into the control setup. Real-time potential of ASDDP is evaluated in a hardware-in-the-loop (HIL) experimental setup.

The use of cache memory in real-time systems

1996 ◽  
Vol 4 (10) ◽  
pp. 1435-1442 ◽  
Author(s):  
M.K.J. Milligan ◽  
H.G. Cragon
Keyword(s):  
Real Time ◽  
Cache Memory ◽  
Real Time Systems ◽  
Time Systems

Software Engineering for Real Time Systems

IEE Review ◽  
1992 ◽  
Vol 38 (3) ◽  
pp. 112
Author(s):  
Stuart Bennett
Keyword(s):  
Software Engineering ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems
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