His primary scientific interests are in Mathematical optimization, Convex optimization, Cognitive psychology, Episodic memory and Event-related potential. His Mathematical optimization research incorporates themes from Convergence, Quadratic equation and Convex function. The various areas that Mikael Johansson examines in his Convex optimization study include Wireless, Routing, Linear system and Piecewise.
His Piecewise research includes themes of Stability, Actuator, Lyapunov function and Optimal control. The Cognitive psychology study combines topics in areas such as Cognition and Explicit memory. His study in Event-related potential is interdisciplinary in nature, drawing from both Recognition memory and Prefrontal cortex.
His primary areas of study are Cognitive psychology, Mathematical optimization, Computer network, Convex optimization and Distributed computing. His Cognitive psychology research is multidisciplinary, relying on both Recognition memory, Semantic memory, Event-related potential and Episodic memory. His Mathematical optimization study combines topics in areas such as Algorithm and Resource allocation.
His research integrates issues of Linear system, Control theory and Piecewise in his study of Convex optimization. Piecewise is often connected to Piecewise linear function in his work. His research investigates the link between Distributed computing and topics such as Wireless network that cross with problems in Power control.
Mikael Johansson mostly deals with Algorithm, Lung cancer, Cognitive psychology, Computation and Mathematical optimization. His Algorithm research also works with subjects such as
Mikael Johansson combines subjects such as Neurocognitive, Episodic memory and Gaze with his study of Cognitive psychology. His Computation study integrates concerns from other disciplines, such as Curvature, Scale and Parallel computing. His Mathematical optimization research integrates issues from Computational complexity theory, Scheduling and Constraint programming.
His scientific interests lie mostly in Lung cancer, Internal medicine, Case-control study, Odds ratio and Single-nucleotide polymorphism. His studies in Lung cancer integrate themes in fields like Genetics, Red meat, Physiology and Cohort. In his study, Lung and Medical genetics is strongly linked to Oncology, which falls under the umbrella field of Internal medicine.
His biological study spans a wide range of topics, including Biomarker, Prospective cohort study and C-reactive protein. His study in the fields of Genome-wide association study under the domain of Single-nucleotide polymorphism overlaps with other disciplines such as Mendelian randomization and KEGG. The concepts of his Genome-wide association study study are interwoven with issues in Expression quantitative trait loci, Locus, Missing heritability problem and Bioinformatics.
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Computation of piecewise quadratic Lyapunov functions for hybrid systems
M. Johansson;A. Rantzer.
IEEE Transactions on Automatic Control (1998)
Piecewise quadratic stability of fuzzy systems
M. Johansson;A. Rantzer;K.-E. Arzen.
IEEE Transactions on Fuzzy Systems (1999)
Simultaneous routing and resource allocation via dual decomposition
Lin Xiao;M. Johansson;S.P. Boyd.
IEEE Transactions on Communications (2004)
Piecewise linear quadratic optimal control
A. Rantzer;M. Johansson.
IEEE Transactions on Automatic Control (2000)
Piecewise Linear Control Systems: A Computational Approach
Mikael K.-J. Johansson.
Piecewise Linear Control Systems
Mikael Johansson;M. Johanssn.
PhD Theses; TFRT-1052 (1999) (2003)
Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems
Euhanna Ghadimi;André Teixeira;Iman Shames;Mikael Johansson.
IEEE Transactions on Automatic Control (2015)
A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
Björn Johansson;Maben Rabi;Mikael Johansson.
Siam Journal on Optimization (2009)
Growth of language-related brain areas after foreign language learning
Johan Mårtensson;Johan Eriksson;Nils Christian Bodammer;Magnus Lindgren.
Networked Control Systems
Alberto Bemporad;Maurice Heemels;Mikael Johansson.
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