A course of H∞0Econtrol theory
A course of H∞0Econtrol theory
Continuous-time self-tuning control
Continuous-time self-tuning control
The effects of rapid sampling in system identification
Automatica (Journal of IFAC) - Identification and system parameter estimation
Robust control and H∞ -optimization: tutorial paper
Automatica (Journal of IFAC)
The complex structured singular value
Automatica (Journal of IFAC) - Special issue on robust control
Diophantine equations in control—a survey
Automatica (Journal of IFAC)
On robust stability of linear systems
Systems & Control Letters
Frequency domain sensitivity functions for continuous time systems under sampled data control
Automatica (Journal of IFAC)
Linear robust control
Robust adaptive control
Robust and optimal control
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Design
Adaptive Control
Industrial Control System Design
Industrial Control System Design
Parametrizations in Control, Estimation, and Filtering Problems: Accuracy Aspects
Parametrizations in Control, Estimation, and Filtering Problems: Accuracy Aspects
Identification of Continuous-Time Systems: Methodology and Computer Implementation
Identification of Continuous-Time Systems: Methodology and Computer Implementation
Feedback Control Theory
Self-Tuning Systems: Control and Signal Processing
Self-Tuning Systems: Control and Signal Processing
Digital Control and Estimation: A Unified Approach
Digital Control and Estimation: A Unified Approach
Robust design in delta domain for SISO plants: PI and PID controllers
Systems Analysis Modelling Simulation
On properties of information matrices of delta-operator basedadaptive signal processing algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Survey Paper: From Youla-Kucera to Identification, Adaptive and Nonlinear Control
Automatica (Journal of IFAC)
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This article addresses a new development of robust pole placement design in the delta domain for single-input single-output (SISO) control systems. Problems of how to obtain both the nominal as well as robust closed-loop stability and performance are considered. The approach is based on a robust pole placement methodology that uses two sets of coupled Diophantine equations and the Q-parameterisation paradigm. The method can be applied both for minimum-phase and non-minimum-phase uncertain systems. A numerical example is given to illustrate the method.