a real-time optimization (rto) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. furthermore, the objective function is penalized by a fuzzified form of the key process constraints. to enable using conventional optimization techniques, the resulting fuzzy optimization problem is then re...

A Real-Time Optimization (RTO) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. Furthermore, the objective function is penalized by a fuzzified form of the key process constraints. To enable using conventional optimization techniques, the resulting fuzzy optimization problem is the...

this paper presents a full duplex, real time implementation of itu-t g.723.1 [7,8] speech coder using the tms320c5402 dsp chip which is based on a 16 bit fixed-point architecture. an optimization method is proposed in order to reduce the total necessary cycle time consumed in real-time implementation. the multi-pulse maximum likelihood quantization (mp-mlq) excitation search block which is the ...

This chapter concerns the use of convex optimization in real-time embedded systems, in areas such as signal processing, automatic control, real-time estimation , real-time resource allocation and decision making, and fast automated trading. By 'embedded' we mean that the optimization algorithm is part of a larger, fully automated system, that executes automatically with newly arriving data or c...

In this paper, we present a search algorithm called real-time search for solving combinatorial optimization problems under real-time constraints. The problems we study are NP-hard and have good heuristic algorithms for generating feasible solutions. The algorithm we develop aims at finding the best possible solution in a given deadline. Since this objective is generally not achievable without f...