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Volumn 22, Issue 6, 1999, Pages 862-872

Low-authority controller design by means of convex optimization

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; APPROXIMATION THEORY; CLOSED LOOP CONTROL SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; FEEDBACK; GAIN CONTROL; LYAPUNOV METHODS; PERTURBATION TECHNIQUES;

EID: 0033228328     PISSN: 07315090     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.4464     Document Type: Article
Times cited : (31)

References (29)
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    • Interior-Point Polynomial Methods in Convex Programming
    • Society for Industrial and Applied Mathematics, Philadelphia, PA
    • Nesterov, Yu., and Nemirovsky, A., Interior-Point Polynomial Methods in Convex Programming, Studies in Applied Mathematics Series, Vol. 13, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1994.
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    • Nesterov, Yu.1    Nemirovsky, A.2
  • 7
    • 0029338589 scopus 로고
    • A Primal-Dual Potential Reduction Method for Problems Involving Matrix Inequalities
    • Vandenberghe, L., and Boyd, S., "A Primal-Dual Potential Reduction Method for Problems Involving Matrix Inequalities," Mathematical Programming, Vol. 69, No. 1, 1995, pp. 205-236.
    • (1995) Mathematical Programming , vol.69 , Issue.1 , pp. 205-236
    • Vandenberghe, L.1    Boyd, S.2
  • 9
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    • Dept. of Civil Engineering and Operations Research, TR SOL 92-05, Princeton University, Princeton, NJ
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    • Vanderbei, R.J.1
  • 11
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    • Optimization Technology Center, Argonne National Lab., Argonne, IL, March
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    • (1997) PCx User Guide
    • Czyzyk, J.1    Mehrotra, S.2    Wright, S.J.3
  • 12
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    • Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results
    • Alizadeh, F., Haeberly, J.-P. A., and Overton, M. L., "Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results," SIAM Journal on Optimization, Vol. 8, No. 3, 1998, pp. 746-768.
    • (1998) SIAM Journal on Optimization , vol.8 , Issue.3 , pp. 746-768
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    • Affine Scaling Transformation Based Methods for Computing Low Complexity Sparse Solutions
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    • Rao, B. D., and Gorodnitsky, I. F., "Affine Scaling Transformation Based Methods for Computing Low Complexity Sparse Solutions," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Inst. of Electrical and Electronics Engineers, New York, 1996, Vol. 3, pp. 1783-1786.
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    • Rao, B.D.1    Gorodnitsky, I.F.2
  • 26
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    • A New Algorithm for Computing Sparse Solutions to Linear Inverse Problems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.