Showing papers by "John B. Moore published in 1986"
TL;DR: In this paper, the authors develop output reachability characterizations of linear finite dimensional multivariate systems, so as to translate excitation properties of system inputs to excitation property of system outputs, states, or associated regression vectors.
129 citations
TL;DR: In this article, the class of all stabilizing controllers for a two-degree-of-freedom control system which achieve a prescribed achievable transfer function is characterized, and robust model matching is formulated as a standard Hm-optimization problem.
23 citations
01 Dec 1986
TL;DR: In this article, it is proposed that adaptive controllers be designed using Measures of Central Tendency of the a posteriori probability function of the control signal conditioned on knowledge of the plant, with particular attention focused on adaptive pole assignment.
Abstract: In adaptive control, there is a range of possibilities between the two extremes of applying the Certainty Equivalence Principle, which can only hold asymptotically, and Dual Control, which is not a practical proposition for on-line schemes. Here it is proposed that adaptive controllers be designed using Measures of Central Tendency of the a posteriori probability function of the control signal conditioned on knowledge of the plant, with particular attention focused on adaptive pole assignment.
8 citations
16 Sep 1986
TL;DR: In this article, the class of strictly proper stabilizing controllers for proper linear plants can be structured as state estimate feedback with frequency shaping in the state estimates and/or in the State estimate feedback law.
Abstract: This paper shows that the class of all strictly proper stabilizing controllers for proper linear plants can be structured as state estimate feedback with frequency shaping in the state estimates and/or in the state estimate feedback law. The selection of where the frequency shaping takes place is at the designers discretion. The parameterization of the controller class can be in terms of an arbitrary proper stable transfer function, with the closed loop system transfer functions affine in this transfer function. With constant output feedback permitted in addition to the state estimate feedback, the class of all proper stabilizing controllers can be generated in like manner.
7 citations
18 Jun 1986
TL;DR: In this paper, an adaptive LQG controller is integrated with a constant gain controller and furnishes the equivalent of a 180° phase margin at the flutter frequency, which is quite encouraging and motivate continuing work in this field.
Abstract: This paper presents an application of adaptive LQG control to aircraft flutter suppression in the presence of Dryden turbulence. The adaptive LQG controller is integrated with a constant gain controller and furnishes the equivalent of a 180° phase margin at the flutter frequency. The design approach blends the classical, LQG and adaptive techniques so that each contributes at its point of strength. The results presented are quite encouraging and motivate continuing work in this field.
7 citations
TL;DR: The purpose of the HPE scheme is to permit information flow from the ELS to RPE algorithms so as to effectively project RPE into a stability domain, and to have it avoid local prediction error index minima that are not the global minimum.
7 citations
18 Jun 1986
TL;DR: In this article, a novel class of state estimate feedback controller designs is considered which achieves robustness at the plant inputs by using loop recovery techniques, which generalize to include frequency shaping of both the control objectives and the loop recovery.
Abstract: A novel class of state estimate feedback controller designs is considered which achieves robustness at the plant inputs by using loop recovery techniques. For the case of minimum phase plants, known designs and theory are recovered as a special case. The theory and designs of the paper generalize to include frequency shaping of both the control objectives and the loop recovery.
7 citations
TL;DR: In this paper, the authors compare signal smoothing to signal filtering relative to estimation with a signal estimate of zero and show that the maximum improvement of smoothing over filtering occurs in the high noise situation.
5 citations
01 Jan 1986
TL;DR: The advantage of the new approach is that not only is performance improved on a typical simulation, but there is increased robustness to plant uncertainty and no a priori thresholds or fine tuning of scaling required.
Abstract: In this paper central tendency adaptive pole-assignment is applied to aircraft flutter suppression and compared to more conventional methods based on ad hoc variations of certainty equivalence pole-assignment The advantage of the new approach is that not only is performance improved on a typical simulation, but there is increased robustness to plant uncertainty and no a priori thresholds or fine tuning of scaling required
3 citations