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» On simulation model complexity
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AUTOMATICA
2002
111views more  AUTOMATICA 2002»
15 years 1 months ago
Virtual reference feedback tuning: a direct method for the design of feedback controllers
This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identificat...
M. C. Campi, A. Lecchini, Sergio M. Savaresi
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
15 years 1 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
AUTOMATICA
2005
82views more  AUTOMATICA 2005»
15 years 1 months ago
From experiment design to closed-loop control
The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers ...
Håkan Hjalmarsson
AUTOMATICA
2007
93views more  AUTOMATICA 2007»
15 years 1 months ago
Development of omni-directional correlation functions for nonlinear model validation
In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation ...
Quan Min Zhu, Li Feng Zhang, Ashley Longden
AUTOMATICA
2006
98views more  AUTOMATICA 2006»
15 years 1 months ago
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
Dragan Nesic, Andrew R. Teel