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API stepsize control for the numerical solution of ordinary differential equations
A control-theoretic approach is used to design a new automatic stepsize control algorithm for the numerical integration of ODE's. The new control algorithm is more robust at little extra expense. ItsExpand
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Optimal experiment design in closed loop with unknown, nonlinear and implicit controllers using stealth identification
We present a novel optimal experiment design method that is applicable to linear time-invariant systems regulated by unknown, nonlinear and implicitly-defined controllers. Current methods require anExpand
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Robust Adaptive Control
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Robust MPC design using orthonormal basis function for the processes with ARMAX model
  • S. H. Hosseinnia, M. Lundh
  • Computer Science, Engineering
  • Proceedings of the IEEE Emerging Technology and…
  • 1 September 2014
TLDR
Laguerre orthonormal basis functions based on ARMAX models speed up the convergence at the same time with lower computation and ARMAX model guarantee's the offset free control . Expand
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Automatic initialization of a robust self-tuning controller
TLDR
This paper describes a method for automatically initializing a self-tuning controller that is adequately described by models of at most third-order with time delay. Expand
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A General Robust MPC Design for the State-Space Model: Application to Paper Machine Process
Applying model predictive control MPC in some cases such as complicated process dynamics and/or rapid sampling leads us to poorly numerically conditioned solutions and heavy computational load.Expand
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AUTOMATIC INITIALIZATION OF ROBUST ADAPTIVE CONTROLLERS
TLDR
This paper describes a procedure for automatically choosing the design parameters for adaptive controllers that can be started simply by pushing a button. Expand
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Performance monitoring for model predictive control maintenance
TLDR
An economically motivated performance measure is proposed for use with model predictive control applications. Expand
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A Set of MATLAB Routines for Control System Analysis and Design
TLDR
A collection of Matlab routines for control system analysis and design that extend and improve the functionality of the Control System Toolbox in Matlab. Expand
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Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives
TLDR
Model-based operation support technology such as Model Predictive Control (MPC) is a proven and accepted technology for multivariable large scale control problems in process industr ... Expand
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