Abstract
A general approach for designing and the theory for analysing robust direct and indirect adaptive-control schemes for continuous-time plants is presented. The design approach involves the development of a general robust adaptive law and the use of the certainty equivalence principle to combine it with robust model reference and pole placement control structures. The global stability properties and robustness of the developed adaptive control schemes are established by using a general theory which relates the properties of signals in the mean sense over intervals of time. The developed theory and design approach are used to analyse and compare the robustness properties and performance of a wide class of robust adaptive laws which employ a dead-zone, fixed-σ, ε1, and a switching-σ modification as well as their variations.
Keywords
Affiliated Institutions
Related Publications
Stability and Robustness of Nonlinear Receding Horizon Control
The main design strategies for ensuring stability and robustness of nonlinear RH (Receding-Horizon) control systems are critically surveyed. In particular, the following algorit...
Stable Adaptive Systems
Stability theory simple adaptive systems adaptive observers the control problem persistent excitation error models robust adaptive control the control problem - relaxation of as...
Robust model predictive control of stable linear systems
A new robust model predictive control (MPC) algorithm is presented for stable, constrained, linear plants that is a direct generalization of the nominally stabilizing regulator ...
Neural Network Control Of Robot Manipulators And Non-Linear Systems
There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance ...
A game theoretic approach to nonlinear robust receding horizon control of constrained systems
In this paper, we present an approach to synthesize a nonlinear model predictive controller with guaranteed robust stability, where uncertainty and input constraints are explici...
Publication Info
- Year
- 1988
- Type
- article
- Volume
- 47
- Issue
- 3
- Pages
- 775-813
- Citations
- 189
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1080/00207178808906054