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Mustafa Khammash
Mustafa Hani Khammash
Person information
- affiliation: ETH Zurich, Control Theory and Systems Biology Laboratory, Basel, Switzerland
- affiliation: University of California at Santa Barbara, CA, USA
- affiliation: Iowa State University (ISU), Ames, IA, USA
- affiliation (PhD 1990): Rice University, Houston, TX, USA
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2020 – today
- 2023
- [j46]Corentin Briat, Mustafa Khammash:
Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications. Annu. Rev. Control. Robotics Auton. Syst. 6: 283-311 (2023) - [j45]Zhou Fang
, Ankit Gupta
Convergence of Regularized Particle Filters for Stochastic Reaction Networks. SIAM J. Numer. Anal. 61(2): 399-430 (2023) - 2022
- [j44]Zhou Fang
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations. J. Comput. Phys. 467: 111441 (2022) - [j43]Mustafa Hani Khammash
Systems and Synthetic Biology. Proc. IEEE 110(5): 518-522 (2022) - [j42]Mustafa Hani Khammash
Cybergenetics: Theory and Applications of Genetic Control Systems. Proc. IEEE 110(5): 631-658 (2022) - [c66]Maurice Filo, Sant Kumar, Stanislav Anastassov, Mustafa Khammash:
Exploiting the Nonlinear Structure of the Antithetic Integral Controller to Enhance Dynamic Performance. CDC 2022: 1294-1299 - [c65]Corentin Briat, Mustafa Khammash:
Continuous and Sampled-Data H∞ Control of Linear Stochastic Reaction Networks. CDC 2022: 1924-1929 - [c64]Ankit Gupta, Mustafa Khammash:
Padé SSA: A frequency domain method for estimating the dynamics of stochastic reaction networks. CDC 2022: 1942-1947 - [c63]Corentin Briat, Mustafa Khammash:
Continuous-Time and Sampled-Data Optimal Control of Linear Stochastic Reaction Networks. CDC 2022: 3865-3870 - [i20]Corentin Briat, Mustafa Khammash:
On the Innocuousness of Deterministic p-type Antithetic Integral Controllers Arising in Integral Rein Control. CoRR abs/2201.13375 (2022) - [i19]Corentin Briat, Mustafa Khammash:
Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications. CoRR abs/2209.13901 (2022) - 2021
- [j41]Ankit Gupta
DeepCME: A deep learning framework for computing solution statistics of the chemical master equation. PLoS Comput. Biol. 17(12) (2021) - [j40]Corentin Briat
Ergodicity, Output-Controllability, and Antithetic Integral Control of Uncertain Stochastic Reaction Networks. IEEE Trans. Autom. Control. 66(5): 2087-2098 (2021) - [j39]Corentin Briat
In-Silico Proportional-Integral Moment Control of Stochastic Gene Expression. IEEE Trans. Autom. Control. 66(7): 3007-3019 (2021) - [c62]Fangzhou Xiao, Mustafa Khammash, John C. Doyle:
Stability and Control of Biomolecular Circuits through Structure. ACC 2021: 476-483 - [i18]Corentin Briat, Christoph Zechner, Mustafa Khammash:
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation. CoRR abs/2112.10273 (2021) - 2020
- [j38]Jan Mikelson
Likelihood-free nested sampling for parameter inference of biochemical reaction networks. PLoS Comput. Biol. 16(10) (2020) - [j37]Corentin Briat
Ergodicity Analysis and Antithetic Integral Control of a Class of Stochastic Reaction Networks with Delays. SIAM J. Appl. Dyn. Syst. 19(3): 1575-1608 (2020) - [j36]Milad Siami
Fundamental Limits and Tradeoffs in Autocatalytic Pathways. IEEE Trans. Autom. Control. 65(2): 733-740 (2020) - [c61]Zhou Fang
Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks. CDC 2020: 4616-4621 - [i17]Corentin Briat, Mustafa Khammash:
Ergodicity, Output-Controllability, and Antithetic Integral Control of Uncertain Stochastic Reaction Networks. CoRR abs/2001.02116 (2020)
2010 – 2019
- 2019
- [c60]Mustafa Khammash, Mario di Bernardo
Cybergenetics: Theory and Methods for Genetic Control System. CDC 2019: 916-926 - [c59]Daniele Cappelletti
A linear constrained integral feedback for a class of reaction systems with absolute concentration robustness. CDC 2019: 945-950 - [c58]Maurice Filo, Mustafa Khammash:
Optimal Parameter Tuning of Feedback Controllers with Application to Biomolecular Antithetic Integral Control. CDC 2019: 951-957 - [c57]Ankit Gupta, Mustafa Khammash:
An antithetic integral rein controller for bio-molecular networks. CDC 2019: 2808-2813 - [c56]Ankit Gupta, Mustafa Khammash, Guido Sanguinetti
Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations. CMSB 2019: 342-346 - [c55]Ankit Gupta, Patrik Dürrenberger, Mustafa Khammash:
Quantification of loading effects in interconnections of stochastic reaction networks. ECC 2019: 2165-2170 - 2018
- [j35]Ankit Gupta, Mustafa Khammash:
Computational Identification of Irreducible State-Spaces for Stochastic Reaction Networks. SIAM J. Appl. Dyn. Syst. 17(2): 1213-1266 (2018) - [j34]Ankit Gupta, Muruhan Rathinam, Mustafa Khammash:
Estimation of Parameter Sensitivities for Stochastic Reaction Networks Using Tau-Leap Simulations. SIAM J. Numer. Anal. 56(2): 1134-1167 (2018) - [c54]Corentin Briat, Ankit Gupta, Mustafa Khammash:
Variance reduction in stochastic gene expression under integral feedback control. CDC 2018: 1893-1898 - [i16]Corentin Briat, Mustafa Khammash:
In-Silico Proportional-Integral Moment Control of Stochastic Reaction Networks with Applications to Gene Expression (with Dimerization). CoRR abs/1810.12293 (2018) - [i15]Corentin Briat, Mustafa Khammash:
Ergodicity analysis and antithetic integral control of a class of stochastic reaction networks with delays. CoRR abs/1811.09188 (2018) - 2017
- [j33]Irena Kuzmanovska, Andreas Milias-Argeitis
Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Syst. Biol. 11(1): 52:1-52:13 (2017) - [c53]Ankit Gupta, Mustafa Khammash:
Finding the steady-state solution of the chemical master equation. CCTA 2017: 953-954 - [c52]Harrison Steel, Gabriele Lillacci
Challenges at the interface of control engineering and synthetic biology. CDC 2017: 1014-1023 - [i14]Corentin Briat, Mustafa Khammash:
Robust and structural ergodicity analysis of stochastic biomolecular networks involving synthetic antithetic integral controllers. CoRR abs/1703.00319 (2017) - [i13]Corentin Briat, Mustafa Khammash:
Stability analysis of LPV systems with piecewise differentiable parameters. CoRR abs/1703.02912 (2017) - [i12]Corentin Briat, Mustafa Khammash:
Simple interval observers for linear impulsive systems with applications to sampled-data and switched systems. CoRR abs/1703.03950 (2017) - [i11]Milad Siami, Nader Motee, Gentian Buzi, Bassam Bamieh, Mustafa Khammash, John C. Doyle:
Fundamental Limits and Tradeoffs in Autocatalytic Pathways. CoRR abs/1706.09810 (2017) - [i10]Corentin Briat, Ankit Gupta, Mustafa Khammash:
Variance reduction for antithetic integral control of stochastic reaction networks. CoRR abs/1711.08291 (2017) - 2016
- [j32]Corentin Briat, Mustafa Khammash:
Interval peak-to-peak observers for continuous- and discrete-time systems with persistent inputs and delays. Autom. 74: 206-213 (2016) - [j31]Gentian Buzi, Mustafa Khammash:
Implementation Considerations, Not Topological Differences, Are the Main Determinants of Noise Suppression Properties in Feedback and Incoherent Feedforward Circuits. PLoS Comput. Biol. 12(6) (2016) - [c51]Corentin Briat, Mustafa Khammash:
Robust ergodicity and tracking in antithetic integral control of stochastic biochemical reaction networks. CDC 2016: 752-757 - [c50]Christoph Zechner
A molecular implementation of the least mean squares estimator. CDC 2016: 5869-5874 - [c49]Christoph Zechner
Approximate filtering distributions for characterizing input-output behavior of biochemical networks. ECC 2016: 1818-1823 - [i9]Corentin Briat, Mustafa Khammash:
Robust ergodicity and tracking in antithetic integral control of stochastic biochemical reaction networks. CoRR abs/1607.07080 (2016) - 2015
- [c48]Andreas Milias-Argeitis
Adaptive Model Predictive Control of an optogenetic system. CDC 2015: 1265-1270 - [r2]João Pedro Hespanha, Mustafa Khammash:
Stochastic Description of Biochemical Networks. Encyclopedia of Systems and Control 2015 - [r1]Mustafa Khammash, John Lygeros:
Identification and Control of Cell Populations. Encyclopedia of Systems and Control 2015 - [i8]Corentin Briat, Mustafa Khammash:
Sign properties of Metzler matrices with applications. CoRR abs/1512.07043 (2015) - 2014
- [j30]Patrick W. Sheppard, Xiaoyun Sun, Mustafa Khammash, Rona G. Giffard:
Overexpression of Heat Shock Protein 72 Attenuates NF-κB Activation Using a Combination of Regulatory Mechanisms in Microglia. PLoS Comput. Biol. 10(2) (2014) - [j29]Vladimir A. Kazeev
Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains. PLoS Comput. Biol. 10(3) (2014) - [j28]Ankit Gupta, Corentin Briat
A Scalable Computational Framework for Establishing Long-Term Behavior of Stochastic Reaction Networks. PLoS Comput. Biol. 10(6) (2014) - [j27]Lorenzo Fagiano
On Sensor Fusion for Airborne Wind Energy Systems. IEEE Trans. Control. Syst. Technol. 22(3): 930-943 (2014) - [j26]Lorenzo Fagiano
Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results. IEEE Trans. Control. Syst. Technol. 22(4): 1433-1447 (2014) - [c47]Andreas Milias-Argeitis
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates. CDC 2014: 4617-4622 - [c46]Gentian Buzi, Mustafa Khammash:
Detection of loading effects in bacterial stress response using biochemical stochasticity. CDC 2014: 5425-5430 - [c45]Mustafa Hani Khammash:
Plenary talk: Feedback control of living cells. MED 2014: 1140 - [i7]Corentin Briat, Ankit Gupta, Mustafa Khammash:
Generic low-copy integral feedback for robust in-vivo adaptation. CoRR abs/1410.6064 (2014) - 2013
- [j25]Patrick W. Sheppard, Muruhan Rathinam, Mustafa Khammash:
SPSens: a software package for stochastic parameter sensitivity analysis of biochemical reaction networks. Bioinform. 29(1): 140-142 (2013) - [j24]Gabriele Lillacci
The signal within the noise: efficient inference of stochastic gene regulation models using fluorescence histograms and stochastic simulations. Bioinform. 29(18): 2311-2319 (2013) - [j23]Michael J. Lawson
Spatial Stochastic Dynamics Enable Robust Cell Polarization. PLoS Comput. Biol. 9(7) (2013) - [j22]Ankit Gupta, Mustafa Khammash:
Unbiased Estimation of Parameter Sensitivities for Stochastic Chemical Reaction Networks. SIAM J. Sci. Comput. 35(6) (2013) - [c44]Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari:
On control of tethered wings for airborne wind energy. ACC 2013: 1430-1435 - [c43]Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh
Sensor fusion for tethered wings in airborne wind energy. ACC 2013: 2884-2889 - [c42]Michael Nip, João Pedro Hespanha, Mustafa Khammash:
Direct numerical solution of algebraic Lyapunov equations for large-scale systems using Quantized Tensor Trains. CDC 2013: 1950-1957 - [c41]Corentin Briat
Integral population control of a quadratic dimerization process. CDC 2013: 3367-3372 - [c40]Uwe Helmke, Knut Hüper, Mustafa Khammash:
Global identifiability of a simple linear model for gene expression analysis. CDC 2013: 7149-7154 - [c39]Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari:
Automatic control of tethered wings for airborne wind energy: Design and experimental results. ECC 2013: 992-997 - [c38]Yutaka Hori, Mustafa Hani Khammash, Shinji Hara
Efficient parameter identification for stochastic biochemical networks using a reduced-order realization. ECC 2013: 4154-4159 - [i6]Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash:
Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results. CoRR abs/1301.1064 (2013) - [i5]Corentin Briat, Ankit Gupta, Mustafa Khammash:
A scalable computational framework for establishing long-term behavior of stochastic reaction networks. CoRR abs/1304.5404 (2013) - [i4]Corentin Briat, Mustafa Khammash:
Integral population control of a quadratic dimerization process. CoRR abs/1307.6446 (2013) - 2012
- [j21]Nader Motee, Bassam Bamieh
Stability analysis of quasi-polynomial dynamical systems with applications to biological network models. Autom. 48(11): 2945-2950 (2012) - [c37]Lorenzo Fagiano
Nonlinear stochastic model predictive control via regularized polynomial chaos expansions. CDC 2012: 142-147 - [c36]Gabriele Lillacci
Measurement noise distribution as a metric for parameter estimation in dynamical systems. CDC 2012: 1494-1499 - [c35]Corentin Briat
Computer control of gene expression: Robust setpoint tracking of protein mean and variance using integral feedback. CDC 2012: 3582-3588 - [c34]Michael Nip, João P. Hespanha, Mustafa Khammash:
A spectral methods-based solution of the Chemical Master Equation for gene regulatory networks. CDC 2012: 5354-5360 - [i3]Lorenzo Fagiano, Mustafa Khammash:
Simulation of stochastic systems via polynomial chaos expansions and convex optimization. CoRR abs/1202.0753 (2012) - [i2]Corentin Briat, Mustafa Khammash:
Computer control of gene expression: Robust setpoint tracking of protein mean and variance using integral feedback. CoRR abs/1207.4766 (2012) - [i1]Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash:
On sensor fusion for airborne wind energy systems. CoRR abs/1211.5060 (2012) - 2011
- [j20]Patrick W. Sheppard, Xiaoyun Sun, John F. Emery, Rona G. Giffard, Mustafa Khammash:
Quantitative characterization and analysis of the dynamic NF-kappaB response in microglia. BMC Bioinform. 12: 276 (2011) - [c33]Sandra H. Dandach, Mustafa Khammash:
Stochastic strategies for survival: Bacterial competence in Bacillus Subtilis. ACC 2011: 2296-2301 - [c32]Lorenzo Fagiano
On the guaranteed accuracy of Polynomial Chaos Expansions. CDC/ECC 2011: 728-733 - [c31]Gabriele Lillacci
Model selection in stochastic chemical reaction networks using flow cytometry data. CDC/ECC 2011: 1680-1685 - [c30]Anahita Mirtabatabaei, Francesco Bullo
Flow cytometry based state aggregation of a stochastic model of protein expression. CDC/ECC 2011: 4383-4388 - 2010
- [j19]Hana El-Samad, Mustafa Khammash:
Modelling and analysis of gene regulatory network using feedback control theory. Int. J. Syst. Sci. 41(1): 17-33 (2010) - [j18]Gabriele Lillacci
Parameter Estimation and Model Selection in Computational Biology. PLoS Comput. Biol. 6(3) (2010) - [j17]Sandra H. Dandach, Mustafa Khammash:
Analysis of Stochastic Strategies in Bacterial Competence: A Master Equation Approach. PLoS Comput. Biol. 6(11) (2010) - [c29]Nader Motee, Bassam Bamieh
Stability analysis of a class of biological network models. ACC 2010: 5936-5941 - [c28]Gabriele Lillacci
Parameter identification of biological networks using extended Kalman filtering and χ2 criteria. CDC 2010: 3367-3372 - [c27]Nader Motee, Fiona Chandra, Bassam Bamieh
Performance limitations in autocatalytic networks in biology. CDC 2010: 4715-4720 - [c26]Nader Motee, Bassam Bamieh
Model reduction of polynomial dynamical systems using differential algebra. CDC 2010: 6195-6200
2000 – 2009
- 2008
- [j16]Mustafa Khammash, Claire J. Tomlin, M. Vidyasagar:
Guest Editorial - Special Issue on Systems Biology. IEEE Trans. Autom. Control. 53: 4-7 (2008) - [j15]Brian Munsky
The Finite State Projection Approach for the Analysis of Stochastic Noise in Gene Networks. IEEE Trans. Autom. Control. 53: 201-214 (2008) - [j14]Keith B. Purvis, Karl Johan Åström, Mustafa Khammash:
Estimation and Optimal Configurations for Localization Using Cooperative UAVs. IEEE Trans. Control. Syst. Technol. 16(5): 947-958 (2008) - [c25]Brian Munsky
Computation of switch time distributions in stochastic gene regulatory networks. ACC 2008: 2761-2766 - [c24]Brian Munsky, Mustafa Khammash:
Using noise transmission properties to identify stochastic gene regulatory networks. CDC 2008: 768-773 - 2007
- [j13]Brian Munsky
A multiple time interval finite state projection algorithm for the solution to the chemical master equation. J. Comput. Phys. 226(1): 818-835 (2007) - [c23]Brian Munsky, Slaven Peles, Mustafa Khammash:
Stochastic analysis of gene regulatory networks using finite state projections and singular perturbation. ACC 2007: 1323-1328 - [c22]Keith B. Purvis, Karl Johan Åström, Mustafa Khammash:
Online Control Strategies for Highly Coupled Cooperative UAVs. ACC 2007: 3961-3966 - [c21]Pablo A. Iglesias
Systems biology and control - A tutorial. CDC 2007: 1-12 - 2006
- [j12]Hana El-Samad, Stephen Prajna, Antonis Papachristodoulou
Advanced Methods and Algorithms for Biological Networks Analysis. Proc. IEEE 94(4): 832-853 (2006) - [j11]Hiroyuki Kurata, Hana El-Samad, Rei Iwasaki, Hisao Ohtake, John C. Doyle, Irina Grigorova
Module-Based Analysis of Robustness Tradeoffs in the Heat Shock Response System. PLoS Comput. Biol. 2(7) (2006) - [c20]Brian Munsky
A reduced model solution for the chemical master equation arising in stochastic analyses of biological networks. CDC 2006: 25-30 - [c19]Hana El-Samad, Mustafa Khammash:
Coherence Resonance: A Mechanism for Noise Induced Stable Oscillations in Gene Regulatory Networks. CDC 2006: 2382-2387 - 2005
- [c18]Keith B. Purvis, Karl Johan Åström, Mustafa Khammash:
Estimating radar positions using cooperative unmanned air vehicle teams. ACC 2005: 3512-3517 - [c17]Hana El-Samad, Domitilla Del Vecchio, Mustafa Khammash:
Repressilators and promotilators: loop dynamics in synthetic gene networks. ACC 2005: 4405-4410 - [c16]Mustafa Khammash, Hana El-Samad:
Stochastic Modeling and Analysis of Genetic Networks. CDC/ECC 2005: 2320-2325 - 2004
- [j10]Xin Qi, Murti V. Salapaka, Petros G. Voulgaris, Mustafa Khammash:
Structured optimal and robust control with multiple criteria: a convex solution. IEEE Trans. Autom. Control. 49(10): 1623-1640 (2004) - [c15]Hana El-Samad, Mustafa Khammash:
Stochastic stability and its application to the analysis of gene regulatory networks. CDC 2004: 3001-3006 - 2003
- [c14]Xin Qi, Murti V. Salapaka, Petros G. Voulgaris, Mustafa Khammash:
Structured optimal control with applications to network flow coordination. ACC 2003: 272-277 - [c13]Hana El-Samad, Stephen Prajna, Antonis Papachristodoulou, Mustafa Khammash, John C. Doyle:
Model validation and robust stability analysis of the bacterial heat shock response using SOSTOOLS. CDC 2003: 3766-3771 - 2002
- [c12]Hana El-Samad, Mustafa Khammash, Hiroyuki Kurata, John Doyle:
Robustness analysis of the heat shock response in E. coli. ACC 2002: 1742-1747 - [c11]Xin Qi, Mustafa Hani Khammash, Murti V. Salapaka:
Integrated parameter and control design. ACC 2002: 4888-4893 - 2001
- [j9]Mustafa Hani Khammash, Liping Zou:
Analysis of steady-state tracking errors in sampled-data systems with uncertainty. Autom. 37(6): 889-897 (2001) - [j8]Mustafa Khammash, Murti V. Salapaka, Timothy Van Voorhis:
Robust synthesis in 1: a globally optimal solution. IEEE Trans. Autom. Control. 46(11): 1744-1754 (2001) - [c10]Zhe Lin, Mustafa Khammash:
Robust gain-scheduled aircraft longitudinal controller design using an H∞ approach. ACC 2001: 2724-2729 - [c9]Xin Qi, Mustafa Hani Khammash, Murti V. Salapaka:
Optimal controller synthesis with multiple objectives. ACC 2001: 2730-2735 - [c8]Hiroyuki Kurata, Hana El-Samad, Tau-Mu Yi, Mustafa Khammash, John Doyle:
Feedback regulation of the heat shock response in E. coli. CDC 2001: 837-842 - [c7]Xin Qi, Mustafa Hani Khammash, Murti V. Salapaka:
A MATLAB package for multiobjective control synthesis. CDC 2001: 3991-3996 - [c6]Pierre-Olivier Malaterre, Mustafa Khammash:
Comparison of different polynomial factorization approaches as an alternative to FIR approximation to solve the ℓ1 design problem. ECC 2001: 3115-3119 - 2000
- [j7]Mustafa Khammash:
A new approach to the solution of the l1 control problem: the scaled-Q method. IEEE Trans. Autom. Control. 45(2): 180-187 (2000) - [c5]Hana El-Samad, Mustafa Khammash, J. Goff:
Calcium homeostasis: a feedback control point of view. ACC 2000: 2962-2966 - [c4]Hana El-Samad, Mustafa Khammash:
Calcium Homeostasis: A Feedback Control Point of View. BIBE 2000: 365-369 - [c3]Pierre-Olivier Malaterre, Mustafa Khammash:
ℓ1 controller design for a high-order 5-pool irrigation canal system. CDC 2000: 3188-3193
1990 – 1999
- 1998
- [c2]Murti V. Salapaka, Mustafa Khammash:
Multi-objective MIMO optimal control design without zero interpolation. Robustness in Identification and Control 1998: 306-317 - [c1]Mustafa Khammash, Murti V. Salapaka, Timothy Van Voorhis:
Robustness synthesis in l 1: A globally optimal solution. Robustness in Identification and Control 1998: 318-328 - 1997
- [j6]Mustafa Hani Khammash:
Robust performance: unknown disturbances and known fixed inputs. IEEE Trans. Autom. Control. 42(12): 1730-1734 (1997) - 1996
- [j5]Mustafa Hani Khammash:
Synthesis of globally optimal controllers for robust performance to unstructured uncertainty. IEEE Trans. Autom. Control. 41(2): 189-198 (1996) - 1995
- [j4]Mustafa Hani Khammash:
Robust steady-state tracking. IEEE Trans. Autom. Control. 40(11): 1872-1880 (1995) - 1993
- [j3]Munther A. Dahleh, Mustafa Hani Khammash:
Controller design for plants with structured uncertainty. Autom. 29(1): 37-56 (1993) - [j2]Mustafa Hani Khammash:
Necessary and sufficient conditions for the robustness of time-varying systems with applications to sampled-data systems. IEEE Trans. Autom. Control. 38(1): 49-57 (1993) - 1992
- [j1]Mustafa Khammash, Mohammed Dahleh:
Time-varying control and the robust performance of systems with structured norm-bounded perturbations. Autom. 28(4): 819-821 (1992)
Coauthor Index
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