It is well-known that the use of a large adaptive gain in model-reference adaptive control (MRAC) can result in poor robustness.1 Two well-known robust modification methods, namely; the σ -modification2 and e-modification,3 have been used extensively. The last decade has seen a surge in many new adaptive control methods such as the L1 adaptive control,4 adaptive loop transfer recovery,5 Kalman ...

Variable speed wind turbines are designed to follow wind speed variations in low winds in order to maximize aerodynamic efficiency. Unfortunately, uncertainty in the aerodynamic parameters may lead to sub-optimal power capture in variable speed turbines. Adaptive generator torque control is one method of eliminating this suboptimality; however, before adaptive control can become widely used in ...

We study adaptive system-level fault diagnosis for multiprocessor systems. Processors can test each other and future tests can be selected on the basis of previous test results. Fault-free testers give always correct test results, while faulty testers are completely unreliable. The aim of diagnosis is to determine correctly the fault status of all processors. We present adaptive diagnosis algor...

The certainty equivalence and polynomial approach, widely used for designing adaptive controllers, leads to “simple” adaptive control designs that guarantee stability, asymptotic error convergence, and robustness, but not necessarily good transient performance. Backstepping and tuning functions techniques, on the other hand, are used to design adaptive controllers that guarantee stability and g...

In engineering it is usually necessary to design systems as cheap as possible whilst ensuring that certain constraints are satisfied. Computational optimisation methods can help to find optimal designs. However, it is demonstrated in this work that an optimal design is often not robust against variations caused by the manufacturing process, which would result in unsatisfactory product quality. ...