The role of digital computers in the dynamic optimization of chemical reactions
IRE-AIEE-ACM '59 (Western) Papers presented at the the March 3-5, 1959, western joint computer conference
Pole assignment in linear time-invariant multivariable systems with constant disturbances
Automatica (Journal of IFAC)
An experimental evaluation of state estimation in multivariable control systems
Automatica (Journal of IFAC)
A survey of model reference adaptive techniques-Theory and applications
Automatica (Journal of IFAC)
Paper: The design of a multivariable control system for a ship boiler
Automatica (Journal of IFAC)
Paper: Multiloop, feedforward, modal and optimal control of an evaporator
Automatica (Journal of IFAC)
Design of multivariable adaptive model following control systems
Automatica (Journal of IFAC)
Description and applications of a computer program for control systems design
Automatica (Journal of IFAC)
Multivariable PID estimation and control in systems with biased disturbances
Automatica (Journal of IFAC)
On “type l” multivariable linear systems
Automatica (Journal of IFAC)
Hi-index | 22.16 |
The formulation of the optimal, linear, time-invariant, multivariable control problem with quadratic performance index is extended so that the solution includes multivariable integral feedback and model-following capabilities in addition to the normal proportional state feedback. The integral action is produced by augmenting the state vector, and eliminates offsets in selected output variables due to constant disturbance inputs. Inclusion of a setpoint vector in the performance index resulted in relatively high controller gains and a fast process response to step changes in setpoints. However, the ''real'' model-following approach for implementing step changes in setpoints gave greater design flexibility and reliable process responses. The practicality and excellent performance of control systems developed using this approach is demonstrated by experimental data from a computer-controlled pilot-plant evaporator at the University of Alberta.