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Correspondence

Four-block problem: stable plants and rational weights

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Pages 1013-1023 | Received 17 Mar 1989, Published online: 17 Apr 2007

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HITAY ÖZBAY. (1993) Tutorial review H∞ optimal controller design for a class of distributed parameter systems. International Journal of Control 58:4, pages 739-782.
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Articles from other publishers (9)

T.S. Brinsmead & G.C. Goodwin. (2001) Fundamental limits in sensitivity minimization: multiple-input-multiple-output (MIMO) plants. IEEE Transactions on Automatic Control 46:9, pages 1486-1489.
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T.S. Brinsmead & G.C. Goodwin. (2000) Fundamental limits for sensitivity reduction in multiple-input multiple-output plants. Fundamental limits for sensitivity reduction in multiple-input multiple-output plants.
Myung-Gon Yoon & Ji-Yoon Kang. (1998) A performance limitation of tracking controller for SIMO distributed parameter systems. A performance limitation of tracking controller for SIMO distributed parameter systems.
Myung Gon Yoon & Beom Hee Lee. (1997) An approximation approach to H∞ control problems for distributed parameter systems. Automatica 33:11, pages 2049-2052.
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Hong Yang. (1995) Krein space approach to H/sup ∞/ mixed sensitivity minimization for a class of infinite dimensional systems. IEEE Transactions on Automatic Control 40:5, pages 865-881.
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Hong Yang. (1995) ${\bf H}_\infty $ Optimal Sensitivity for a Class of Infinite-Dimensional Systems. SIAM Journal on Control and Optimization 33:2, pages 351-364.
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Kathryn Lenz, Hitay Özbay, Allen Tannenbaum, Janos Turi & Blaise Morton. (1991) Frequency domain analysis and robust control design for an ideal flexible beam. Automatica 27:6, pages 947-961.
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Hitay Özbay & Allen Tannenbaum. (1990) A Skew Toeplitz Approach to the $H^\infty $ Optimal Control of Multivariable Distributed Systems. SIAM Journal on Control and Optimization 28:3, pages 653-670.
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H. Ozbay & A. Tannenbaum. (1989) A solution to the standard H/sup infinity / problem for multivariable distributed systems. A solution to the standard H/sup infinity / problem for multivariable distributed systems.

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