{"title":"The dual theorem of Kharitonov for a class of dependent uncertainties","authors":"R. Tempo","doi":"10.1109/CDC.1988.194371","DOIUrl":"https://doi.org/10.1109/CDC.1988.194371","url":null,"abstract":"The author provides a simple criterion for the strict Hurwitz property of uncertain polynomials with coefficients q epsilon R/sup n-1/ varying in a given diamond Q/sub D/. Since Q/sub D/ is the set dual to the rectangle Q/sub R/ considered by V.L. Kharitonov (1978), the result obtained is called the dual theorem of Kharitonov. This theorem shows that a family of polynomials with coefficients q varying in the diamond Q/sub D/ is strictly Hurwitz if and only if eight one-dimensional edges of the diamond are strictly Hurwitz.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129623474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stabilizing control of discrete systems with jump Markov parameters","authors":"E. Yaz","doi":"10.1109/CDC.1988.194662","DOIUrl":"https://doi.org/10.1109/CDC.1988.194662","url":null,"abstract":"A controller is presented for stabilizing linear, discrete-time systems with discrete-time, discrete state jump Markov parameters. Under the conditions given, the controller is shown to be stabilizing in the mean-square-exponential sense. These results can be extended in a straightforward manner to stabilize systems with additive white noises. The calculation of the control action involves the finite-time solution of a set of Riccati-like equations as opposed to the use of infinite-horizon solutions of the same equations in previous designs.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Formulation and control of real time discrete event processes","authors":"Y. Brave, M. Heymann","doi":"10.1109/CDC.1988.194493","DOIUrl":"https://doi.org/10.1109/CDC.1988.194493","url":null,"abstract":"A discrete-event process is modeled as a controlled state machine, in the framework of D.J. Ramadge and W.M. Wohman (1986). Their approach is extended to model a class of real-time discrete-event processes by means of a special type of automaton, called a clock automaton. The clock automaton is used for decreasing the real-time behavior of processes, controllers, and real-time specifications.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129007475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parameter estimation of spacecraft structural dynamics from flight test data","authors":"J.L. Sun, K. Kessler","doi":"10.1109/CDC.1988.194434","DOIUrl":"https://doi.org/10.1109/CDC.1988.194434","url":null,"abstract":"The authors describe a technique in which measurements from only two sensors are used in estimating the structural bending modes as well as the forced harmonics of a large space structure. A step-by-step approach is used to identify structural flexing via the filter error method of the maximum-likelihood formulation with a minimum number of sensors. The methodology was applied to actual spacecraft flight data and satisfactory results were obtained.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124720183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Minimum sensitivity implementations for multi-mode systems","authors":"Erik I. Verriest","doi":"10.1109/CDC.1988.194716","DOIUrl":"https://doi.org/10.1109/CDC.1988.194716","url":null,"abstract":"The design and implementation of multimode systems under finite-precision restrictions are addressed. Earlier results linking minimum-sensitivity realizations for linear time-invariant systems to the balanced realizations are extended to the multimode and general time-varying systems. The main design problems are posed in a geometric framework, and the geometric theory is applied to switched systems and piecewise linear systems and to the general time-varying case. These optimal realizations are applied to obtain an optimal implementation of a simple multimode filter that allows the tracking of a target with low-complexity, small-wordlength hardware.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125088914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Open-loop guidance for pre-launch maneuvering in medium-range air combat","authors":"W. Grimm, U. Prasad, K. Well","doi":"10.1109/CDC.1988.194563","DOIUrl":"https://doi.org/10.1109/CDC.1988.194563","url":null,"abstract":"The bicriterion game concept is used to model the objectives of hit and survival in air combat with missiles. The approach not only yields the qualitative solution of the game (winning zones), but also defines a set of optimal open-loop controls for each initial state (Pareto-optimal security strategies, POSS). In this application the two components of the vector criterion essentially consist of the predicted miss distances resulting from missile firings of one aircraft against the other. They are evaluated by missile/target simulations with fixed strategies for both vehicles. Each of the POSSs associated with a particular initial state yields a maximum of missile effectiveness while maintaining a prescribed safety margin. The actual choice of one of the POSSs for guidance depends on the risk a pilot is willing to take. Computationally a POSS is approximated by the solution of an optimal control problem. Results with an F4 aircraft model and a generic missile model are presented. A comparison with a related concept, the combat game, is outlined.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Space structure control using moving bank multiple model adaptive estimation","authors":"R. Lashlee, P. Maybeck","doi":"10.1109/CDC.1988.194402","DOIUrl":"https://doi.org/10.1109/CDC.1988.194402","url":null,"abstract":"The authors investigate the feasibility of applying moving bank multiple model adaptive estimation algorithms to flexible space structure control. This form of estimation/control is an attempt to reduce the computational loading associated with the implementation of a full-scale multiple-model adaptive estimator/controller. It is shown that the moving bank controller performs nearly identically to a benchmark controller and substantially better than a fixed-bank controller with a coarse discretization level that covers the entire range of parameter variation.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal quadratic control of jump linear systems with Gaussian noise in discrete-time","authors":"H. Chizeck, Y. Ji","doi":"10.1109/CDC.1988.194681","DOIUrl":"https://doi.org/10.1109/CDC.1988.194681","url":null,"abstract":"An optimal discrete-time jump linear quadratic Gaussian (JLQG) control problem is investigated. The system to be controlled is linear, except for randomly jumping parameters which obey a discrete-time finite-state Markov process. A quadratic expected cost is minimized, for systems subject to additive Gaussian input and measurement noise. It is assumed that the system structure (i.e. jumping parameters) is known at each time. A separation property enables the authors to design the optimal JLQ controller and optimal x-state estimator separately. Based on the appropriate controllability and observability properties for discrete-time jump linear systems, the infinite-time-horizon JLQG problem is solved. The optimal infinite-time-horizon JLQG compensator has a steady-state control law but does not have a steady-state filter. A suboptimal JLQG compensator, using a filter which converges to a steady-state filter, is then constructed.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"119 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126894196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Some properties of dynamic feedback neural nets","authors":"F. Salam, Y. Wang","doi":"10.1109/CDC.1988.194324","DOIUrl":"https://doi.org/10.1109/CDC.1988.194324","url":null,"abstract":"The authors present models of feedback neural nets which are described by nonlinear differential equations. They show that their earlier proofs for convergence to bounded regions and for the existence of a finite number of equilibria are independent of the symmetry of the interconnection matrix and thus are also applicable to more general nongradient dynamic neural nets. However, when the interconnect matrix is asymmetric, the network is not guaranteed to have only (finite) equilibria as its limit set. The authors present computer simulations of a three-neuron network which demonstrate the coexistence of two stable equilibria within the same quadrant. The three-neuron example hence contradicts a recent theorem in the literature.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"69 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129079185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An energy approach to controllability","authors":"M. Wicks, R. Decarlo","doi":"10.1109/CDC.1988.194698","DOIUrl":"https://doi.org/10.1109/CDC.1988.194698","url":null,"abstract":"The authors formulate an energy approach to the control of linear systems. Recent ideas developed for balancing coordinate transformations motivate this approach. Specifically, the geometry of the controllability Gramian and its relationship to the system eigenstructure underlie the controllability of a system from an input energy perspective. After detailing these ideas, the authors describe an algorithm for constructing state feedback to achieve a desired Gramian geometry in a minimum-norm sense. This provides a means of eigenstructure improvement without direct eigenstructure assignment.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}