I. Yaesh

Elbit Systems (Israel)

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U. Shaked

Tel Aviv University

Eli Gershon

Holon Institute of Technology

Adrian‐Mihail Stoica

Universitatea Națională de Știință și Tehnologie Politehnica București

Joseph Z. Ben‐Asher

Technion – Israel Institute of Technology

R. Ben Yamin

Université de Picardie Jules Verne

U. Shaked

Tel Aviv University

D.J.N. Limebeer

University of the Witwatersrand

Carmit Heller

Heidelberg University

Barak Or

University of Haifa

Shmuel Boyarski

Tel Aviv University

Cooperative Institutions

Tel Aviv University

Technion – Israel Institute of Technology

Universitatea Națională de Știință și Tehnologie Politehnica București

Holon Institute of Technology

University of Bucharest

Elbit Systems (Israel)

École Polytechnique Fédérale de Lausanne

Romanian Academy

Centre National de la Recherche Scientifique

Rafael Advanced Defense Systems (Israel)

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Static H∞ Optimal Output-feedback of Linear Systems with Pole Constraints – A Non-smooth Optimization Approach

IFAC Proceedings Volumes (2009)

I. Yaesh U. Shaked

LTI system theory

Pole–zero plot

Closed-loop pole

Constant (computer programming)

10.3182/20090616-3-il-2002.00026

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Citations (3)

STATIC OUTPUT FEEDBACK CONTROL OF LINEAR PARAMETER VARYING SYSTEMS

Annals of the Academy of Romanian Scientists Series on Mathematics and Its Application (2023)

Adrian‐Mihail Stoica I. Yaesh

The synthesis problem of static output feedback controllers within the anisotropic-norm setup for Linear Parameter Varying system is considered. A synthesis approach involving iterations over a convex optimisation problem is suggested, leading to a gain-scheduled con¬troller. The results are formulated by a couple of Linear Matrix In¬equalities and a coupling bilinear equality, using a parameter depen¬dent Lyapunov function. Following LPVTOOL, the problem which is continuous in the gain-scheduling parameter, and hence infinite dimen¬sional, is approximated by a finite grid leading to a tractable sequence of convex optimization problems. The design method is demonstrated on a simple example from the field of flight control.

Gain scheduling

10.56082/annalsarscimath.2023.1-2.427

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Citations (0)

H-infinity Control and Estimation of State-multiplicative Linear Systems

Eli Gershon U. Shaked I. Yaesh

Infinity

Source

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Citations (13)

Simple Adaptive PI Control for Linear Time-Delay Systems

IFAC Proceedings Volumes (2009)

R. Ben Yamin I. Yaesh U. Shaked

10.3182/20090901-3-ro-4009.00031

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Citations (2)

10 Discrete-time Systems: Static Output-feedback

Springer eBooks (2005)

Eli Gershon U. Shaked I. Yaesh

Matrix (chemical analysis)

Feedback Control

10.1007/11351429_10

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Citations (0)

Optimal Disturbance Attenuation Approach with Measurement Feedback to Missile Guidance

arXiv (Cornell University) (2020)

Barak Or Joseph Z. Ben‐Asher I. Yaesh

Pursuit-evasion differential games using the Disturbance Attenuation approach are revisited. Under this approach, the pursuer actions are considered to be control actions, whereas all external actions, such as target maneuvers, measurement errors and initial position uncertainties, are considered to be disturbances. Two open issues have been addressed, namely the effect of noise on the control gains, and the effect of trajectory shaping on the solution. These issues are closely related to the question of the best choice for the disturbance attenuation ratio. Detailed analyses are performed for two simple pursuit-evasion cases: a Simple Boat Guidance Problem and Missile Guidance Engagement.

Pursuer

Missile Guidance

Proportional navigation

Differential game

Position (finance)

Evasion (ethics)

Pursuit-evasion

Source

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Citations (0)

H∞-Control and Estimation of State-multiplicative Linear Systems

Springer eBooks (2005)

Eli Gershon U. Shaked I. Yaesh

Multiplicative noise

State vector

10.1007/b103068

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Citations (210)

Game theory approach to optimal linear state estimation and its relation to the minimum H/sub infinity /-norm estimation

IEEE Transactions on Automatic Control (1992)

I. Yaesh U. Shaked

A possible game theory approach to optimal state estimation is presented. It is found that in a certain differential game, the minimizer's policy is identical to the one obtained by optimal estimation in the minimum H/sub infinity /-norm sense. This interpretation of H/sub infinity /-optimal state estimation provides better insight into the mechanism of H/sub infinity /-optimal filtering, especially in the case where the exogenous signals are not energy bounded.< >

Infinity

Uniform norm

Maximum principle

10.1109/9.256343

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Citations (64)

Transfer Function Approach to the Problems of Discrete-time Systems : H_∞-optimal Linear Control and Filtering

IEEE Trans. (1991)

I. Yaesh

Filtering problem

Source

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Citations (10)

Neuro-Adaptive $H_{\infty}$ Estimation and Its Application to Improved Tracking in GPS Receivers

IEEE Transactions on Industrial Electronics (2008)

I. Yaesh U. Shaked

A neuro-adaptive scheme is suggested for improving the tracking properties of H _infin -optimal filters. The design approach is based on embedding the H _infin -optimal filter within a simplified adaptive control loop that is driven by the innovation process. The stability of the overall estimation scheme is established under strictly passive conditions of a related system. The suggested method is applied to improve the tracking properties of a GPS receiver during user maneuvers.

Tracking (education)

10.1109/tie.2008.2008343

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Citations (8)