{"title":"Nonlinear Control of Unbalanced Gimbal Mechanisms","authors":"J. Anagnost","doi":"10.1109/AEROCS.1993.720961","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720961","url":null,"abstract":"This paper analyzes the dynamics and control of a unbalanced head mirror structure. The results show that the unbalanced structure can be successfully controlled using the methods of exact nonlinear control. The effect of using this nonlinear control prefilter is to obtain a filtered system that appears identical to a standard balanced gimbal. Any standard linear control technique can be applied to this resulting nonlinear system. Furthermore, this methodology is easily extended to any typical n-gimbal system.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354442","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":"Multisensory Data Fusion for Target","authors":"Chun Yang, Ching-Fang Lin","doi":"10.1109/AEROCS.1993.720906","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720906","url":null,"abstract":"In surveillance and file control, the estimation of target status (identity, lethality, and intent) is of great interest in addition to target kinematic variables (position, velocity, and acceleration). The target status estimation based on multiple sensor data fusion is investigated in this paper. The use of Bayesian inference and Dempster-Shafer's evidential reasoning approaches is presented with illustrative examples.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116397730","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":"Discrete-Time Mode Filters for Markovian Jump Processes","authors":"Chun Yang, Ching-Fang Lin","doi":"10.1109/AEROCS.1993.721007","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.721007","url":null,"abstract":"The abrupt changes in a dynamical system due to internal and/or external disturbances can be characterized by a random step variable, called system mode. The simplest model for the mode variable is a finite state markov chain. The knowledge of the system mode is important for estimation, control, and prediction of such a system behavior. However, the mode can only be measured through noisy observations. This paper presents a comparative study of various mode filters based on continuous-valued and discrete-values observations in discrete time.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122099434","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":"Optimum Architectures for Multiresolutional Control","authors":"Y. Maximov, A. Meystel","doi":"10.1109/AEROCS.1993.721016","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.721016","url":null,"abstract":"The theoretical foundations of optimum architectures for control systems are outlined upon complexity analysis for control systems with multiresolutional representation, and multiresolutional algorithms of control processes. It is demonstrated, that hierarchies for multiresolutional control should have a definite number of levels which minimizes the complexity (and time) of amputations. Tbe optimum number of levels is found analytically which has never bq?n done before.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117086898","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}
K. Chopper, H. Jaeger, L. Stephens, D. Burdic, Chun Yang, Ching-Fang Lin
{"title":"Seeker-Optimized Guidance Integrated Fuzing","authors":"K. Chopper, H. Jaeger, L. Stephens, D. Burdic, Chun Yang, Ching-Fang Lin","doi":"10.1109/AEROCS.1993.720996","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720996","url":null,"abstract":"The concept of guidance integrated fuzing (GIF) is investigated in this paper with emphasis on fuzing parameter estimation. Using GIF, the advantage of common processing and common aperture can be taken of, improving weapon effectiveness. The guidance integrated fuzing is formulated with comparison to the traditional hollow cone fuzing. Various fuzing parameter estimation schemes are developed. Test data processing results are also presented.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125755745","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":"Transient Dynamics of Rotating Flexible Structures-ModeIing","authors":"H. Chiu, Ching-Fang Lin, Y. Khulief","doi":"10.1109/AEROCS.1993.720959","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720959","url":null,"abstract":"A method for modeling transient dynamics of rotating flexible components is presented. Such dynamic models are of practical importance for both design and control of several engineering applications. Some examples include flexible links of high-speed mechanisms, manipulator arms, airplane propellers, and flexible appendages of spinning spacecraft. This method is based on a nonlinear formulation of the Lagrangian form in conjunction with the finite element techniques. A mixed set of generalized coordinates that accounts for inertia coupling between reference motions and local elastic deformations is employed. Component mode substitution techniques are used for generating a finite set of selected modal coordinates. The formulation accounts for component mode changes due to the effect of reference rotational speed of the elastic component. Base motion excitations, including impulsive forces, are taken into consideration. Numerical results are presented for a beam with its midpoint fixed to a rotating base which is subjected to sinusoidal pulse excitation.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125061898","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":"Adaptive Traffic Signal Control Using Fuzzy Logic","authors":"S. Chiu, S. Chand","doi":"10.1109/AEROCS.1993.720907","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720907","url":null,"abstract":"We present a distributed approach to traffic signal control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. Thus, the signal timing parameters evolve dynamically using only local information to improve traffic flow. This distributed approach provides for a fault-tolerant, highly responsive traffic management system. The signal timing at an intersection is defined by three parameters: cycle time, phase split, and offset. We use fuzzy decision rules to adjust these three parameters based only on local information. The amount of change in the timing parameters during each cycle is limited to a small fraction of the current parameters to ensure smooth transition. We show the effectiveness of this method through simulation of the traffic flow in a network of controlled intersections.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128341191","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":"Global Optimization in Control Systems Analysis","authors":"V. Balakrishnan, Stephen P. Boyd","doi":"10.1109/AEROCS.1993.720969","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720969","url":null,"abstract":"Many problems in control system analysis and design can be posed in a setting where a linear system is affected by unspecified parameters that lie between given upper and lower bounds. Except for a few special cases, the computation of many quantities of interest for such systems can be performed only through an exhaustive search in parameter space (which is a rectangle in our case). We present a branch and bound algorithm that implements this search for the global optimum in a systematic manner; we then apply it to computing the minimum stability degree of a parameter-dependent linear system.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127148337","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":"On 'A Tutorial Comparison of Three Multivariable Stability Margins'","authors":"R. Bass","doi":"10.1109/AEROCS.1993.721054","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.721054","url":null,"abstract":"A recent paper by A. Wilson and C.D. Johnson [1] compares the three multivariable stability margins developed by R.W. Bass, J.C. Doyle and M.K. Safonov, commonly represented by p, /spl mu/ and K/sub m/, respectively. The general discussion is regarded by three present author as correct, fair, and illuminating. However, the tutorial example, from which some 'conclusions' were drawn, consisted of a comparison of the allowable parameter regions for perturbed or uncertain parameters derived by the three approaches; unfortunately, this comparison utilized the structured versions of /spl mu/ and K/sub m/ and varied the natural frequency and damping ratio of an optimally tuned second-order oscillator to demonstrate that the unstructured (or 'norm-bounded') version of p gives results about 40 db worse than obtainable by either of the other two margins. This paper sets the record straight by pointing out that by use of a structured version of p one obtains parameter regions roughly a third the size of those obtainable with /spl mu/ and about a fourth the size of those obtainable with K/sub m/ (which are the exact linear stability boundaries). Also there is a reason why the /spl mu/-domain is smaller than the K/sub m/-domain (because it allows unmodeled linear dynamics and transport lag), and there is an acceptable reason why the p-domain is smaller than the /spl mu/-domain (because it allows arbitrarily time-varying coefficients and arbitrary [Lipschitzian] nonlinearities as well as true time-delays, and it guarantees invariance of the overshoot factor in the perturbed system). Each type of analysis discloses both overlapping and non-overlapping information, and so a thorough analysis benefits from the information provided by all three tools.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128860879","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":"2-D and 3-D Minimum-Time-to-Turn Flights by Parameter Optimization","authors":"S. Ong, B. Pierson, Ching-Fang Lin","doi":"10.1109/AEROCS.1993.720979","DOIUrl":"https://doi.org/10.1109/AEROCS.1993.720979","url":null,"abstract":"Several two and three-dimensional minimum-time-to-turn problems for a jet fighter are solved using sequential quadratic programming. The original optimal control problem is transformed into a constrained parameter optimization problem by discretizing the vector of control functions into an appropriate number of control points. A complete point-mass aircraft dynamic model is used. Numerical results indicate that the choice of the control constraints influences significantly the form of the optimal control. Also, it appears that initially losing altitude as opposed to gaining altitude is a key feature in the three-dimensional turn for the range of final energies investigated. Comparisons between twoand three-dimensional optimal turning flights are given for an early version of the F-4 fighter aircraft.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126906057","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}