scholarly journals On regular implementability using controllers with a priori input/output structure

Author(s):  
H.L. Trentelman ◽  
Shaik Fiaz
2009 ◽  
Vol 56 (1) ◽  
pp. 5-39 ◽  
Author(s):  
Vittorio Corbo ◽  
André Martens

Abstract Using the 1966 and 1973 (74) Quebec input-output tables we try to identify the sources of variations in the effective protection rates of 169 manufacturing activities between these two periods, namely, changes in nominal tariffs, input-output structures and international export shares. Our results suggest that, between 1969 and 1974, there were a certain number of activities where entrepreneurs used relatively more of the intermediate inputs which had become cheaper (technical substitution effect). However, most of the changes in the effective protection rate values remain explained by changes in the external nominal tariff. The impact of changes in international export shares is itself negligible. Finally the study provides the effective protection rates of the 169 activities for 1977 (given the 1973-74) input-output structure.


2002 ◽  
Vol 8 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Carlos F. Alastruey ◽  
Manuel de la Sen

In this paper, a Lyapunov function candidate is introduced for multivariable systems with inner delays, without assuminga prioristability for the nondelayed subsystem. By using this Lyapunov function, a controller is deduced. Such a controller utilizes an input–output description of the original system, a circumstance that facilitates practical applications of the proposed approach.


Author(s):  
Brooks P. Byam ◽  
Clark J. Radcliffe

Abstract Computer modeling of engineering systems with a large number of interconnected multi degree of freedom (DOF) subsystems requires flexible modeling tools. Flexible modeling tools with arbitrary input-output structure formulate equations to fit the input-output structure of specific engineering systems at the cost of globally reformulating equations with every model change. Each equation formulation requires experimental performance verification. This can be particularly cumbersome in the design, development, and refinement of large models. In previous work Byam and Radcliffe designed modular modeling, a flexible modeling method that eliminates equation reformulation and enhances model experimental performance verification in large models. A fixed input-output structure for all multi DOF modular modeling elements eliminates equation reformulation. The cost is a connector constraint to assemble elements, thereby adding complexity to the global model. Solving linear modular models is a systematic realization of compatible standardized modular elements and connectors. In this work, a modular solution to linear models of engineering systems is defined. Structural and automotive examples are given.


Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 52 ◽  
Author(s):  
Alvaro Domínguez ◽  
Carlos Mendez

Since the early 1990s, there have been larger and increasing labor productivity differences across industries in Japan. More specifically, a clear pattern of sigma and beta divergence across industries is observed. To shed light on these stylized facts, we first evaluate the input–output structure of Japan through the lens of a community-detection algorithm from network theory. Results from this analysis suggest the existence of two input–output network structures: a densely-connected group of industries (a stationary community), whose members remain in it throughout the period; and a group of industries (a transitional community) whose members do not belong to this first group. Next, we re-evaluate the industrial divergence pattern of Japan in the context of each network structure. Results suggest that divergence is mostly driven by the transitional community. Interestingly, since 2007, a pattern of sigma convergence started to re-appear only in the stationary community. We conclude suggesting that industrial divergence and instability in community membership are not necessarily indicative of low productivity performance.


2004 ◽  
Vol 64 (1) ◽  
pp. 193-202 ◽  
Author(s):  
Baiding Hu ◽  
Michael McAleer

Sign in / Sign up

Export Citation Format

Share Document