norm RGA P P = Q 2. Eqn (14) in pg. 558 should read 140019 728) 150)(100)(5 (4 1116141818) 95. 0 (= + = Q 3. Eqn (16) in the same page should read 9958 46655) 19429 (25) 5. 0 (4 1116141818) 95. 0 (= + = Q 4. In eqn (6), the correct names in statistics for and est P α are the lower confidence bound and the confidence level (see E.L. Lehmann, Testing statistical hypotheses, 2 nd Ed. Wiley (1986) ...

Absract This chapter intends to present a brief review of genetic search algorithms and introduce a new type of genetic algorithms (GAs) called the real coded structural genetic algorithm (RSGA) for function optimization. The new genetic model combines the advantages of traditional real genetic algorithm (RGA) with structured genetic algorithm (SGA). This specific feature makes it able to solve...

This paper proposes a refined genetic algorithm (RGA) for solving optimal measurement placement with single measurement pair loss contingency for power system state estimation. Even though the global minimum measurement pair number is , their proper positions are required to make the system observable. The observability is checked by the topological analysis method and triangular factorization ...

The objective of this exercise is to demonstrate how a steady state gain matrix, K can be calculated from a linearized state space dynamic process model. The approach used has been published by Arkun and Downs [1], and it is aimed at handling cases where integrating elements, e.g. liquid levels, are present. The dynamic approach is applied to the Tennessee Eastman process, and the relative gain...

Under new de-regulated environment an open access to transmission system seems to be desired. Transmission system operators (TSOs) are encouraged to use the existing facilities more efficiently. This paper focuses on study of the best location for SVC as a FACTS device to improve voltage profile as well as maximum available transfer capacity (ATC) in order to achieve lower prices. Real genetic ...

This work presents a controllability analysis of a low temperature ethanol reformer based on a cobalt catalyst for fuel cell application. The study is based on a nonlinear dynamic model of a reformer which operates in three separate stages: ethanol dehydrogenation to acetaldehyde and hydrogen, acetaldehyde steam reforming, and water gas shift reaction. The controllability analysis is focused on...

A framework for the assessment of nonlinearity in controlled processes is developed. Assuming that the process can be represented by a twice differentiable process map, the extent of nonlinearity is measured by evaluating the induced local curvature of the process response. The magnitude of this curvature is assessed with respect to an appropriately chosen scaling region. This approach provides...

Detailed dynamic simulations of three industrial distillation columns (a propylene/propane splitter, a xylene/toluene column, and a depropanizer) have been used to study the issue of configuration selection for diagonal PI dual composition controls. ATV identification (Astrom and Hagglund, 1988) with on-line detuning was used for tuning the diagonal PI composition controllers. Each configuratio...

The rice slender mutant (slr1-1) is caused by a single recessive mutation and results in a constitutive gibberellin (GA) response phenotype. The mutant elongates as if saturated with GAs. In this mutant, (1) elongation was unaffected by an inhibitor of GA biosynthesis, (2) GA-inducible alpha-amylase was produced by the aleurone layers without gibberellic acid application, and (3) endogenous GA ...