https://puma.ub.uni-stuttgart.de/group/simtech/currentPUMA RSS feed for /group/simtech/current2026-04-23T04:45:05+02:00https://puma.ub.uni-stuttgart.de/bibtex/2ca59f2f52bcc5a1a370fa054c25f4acd/carsten.scherercarsten.scherer2021-12-07T20:40:52+01:00forecasts current achievements peerReviewed problems control recent imng trends key theory <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Bars" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/0"><span itemprop="name">R. Bars</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Colaneri" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/1"><span itemprop="name">P. Colaneri</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. E. de Souza" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/2"><span itemprop="name">C. de Souza</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="L. Dugard" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/3"><span itemprop="name">L. Dugard</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Allgower" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/4"><span itemprop="name">F. Allgower</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Kleimenov" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/5"><span itemprop="name">A. Kleimenov</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. W. Scherer" itemprop="url" href="/person/13d3b2040131f93b9aa77bbada036ebbf/author/6"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Annu. Rev. Control</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">30 </span></span>(<span itemprop="issueNumber">1</span>): <span itemprop="pagination">19-30</span></em> </span>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)</span>Tue Dec 07 20:40:52 CET 2021Annu. Rev. Control119-30{T}heory, algorithms and technology in the design of control systems302006forecasts current achievements peerReviewed problems control recent imng trends key theory Control theory deals with disciplines and methods leading to an automatic decision process in order to improve the performance of a control system. The evolution of control engineering is closely related to the evolution of the technology of sensors and actuators, and to the theoretical controller design methods and numerical techniques to be applied in real-time computing. New control disciplines, new development in the technologies will fertilize quite new control application fields. The status report gives an overview of the current key problems in control theory and design, evaluates the recent major accomplishments and forecasts some new areas. Challenges for future theoretical work are modelling, analysis and design of systems in quite new applications fields. New effective real-time optimal algorithms are needed for 2D and 3D pattern recognition. Design of very large distributed systems has presented a new challenge to control theory including robust control. Control over the networks becomes an important application area. Virtual reality is developing in impressive rate arising new theoretical problems. Distributed hybrid control systems involving extremely large number of interacting control loops, coordinating large number of autonomous agents, handling very large model uncertainties will be in the center of future research. New achievements in bioinformatics will result in new applications. All these challenges need development of new theories, analysis and design methods. (C) 2006 Elsevier Ltd. All rights reserved.