By Karl Johan Åström, Bo Bernhardsson (auth.), Anders Rantzer, Christopher I. Byrnes (eds.)
For greater than 3 a long time, Anders Lindquist has added basic cont- butions to the ?elds of platforms, indications and keep an eye on. all through this era, 4 topics can possibly signify his pursuits: Modeling, estimation and ?ltering, suggestions and powerful regulate. His contributions to modeling contain seminal paintings at the function of splitting subspaces in stochastic recognition conception, at the partial awareness challenge for either deterministic and stochastic structures, at the resolution of the rational covariance extension challenge and on procedure identi?cation. His contributions to ?ltering and estimation contain the improvement of speedy ?ltering algorithms, resulting in a nonlinear dynamical procedure which computes spectral components in its regular kingdom, and which offer an alternative, linear within the size of the kingdom house, to computing the Kalman achieve from a matrix Riccati equation. His extra examine at the part portrait of this dynamical process gave a greater knowing of whilst the Kalman ?lter will converge, answering an open query raised through Kalman. whereas nonetheless a scholar he confirmed the separation precept for stochastic functionality differential equations, together with a few primary paintings on optimum keep watch over for stochastic structures with time lags. He persevered his curiosity in suggestions keep an eye on via deriving optimum and strong regulate suggestions legislation for suppressing the consequences of harmonic disturbances. additionally, his fresh paintings on a whole parameterization of all rational options to the Nevanlinna-Pick challenge is offering a brand new method of powerful keep watch over design.