Michael A. Henson

ORCID: 0000-0003-1969-4906
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About
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Research Areas
  • Advanced Control Systems Optimization
  • Microbial Metabolic Engineering and Bioproduction
  • Fault Detection and Control Systems
  • Biofuel production and bioconversion
  • Gene Regulatory Network Analysis
  • Process Optimization and Integration
  • Viral Infectious Diseases and Gene Expression in Insects
  • Adaptive Control of Nonlinear Systems
  • Gut microbiota and health
  • Fungal and yeast genetics research
  • Circadian rhythm and melatonin
  • Fluid Dynamics and Mixing
  • Photoreceptor and optogenetics research
  • Control Systems and Identification
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Membrane Separation and Gas Transport
  • Advanced Control Systems Design
  • Crystallization and Solubility Studies
  • Clostridium difficile and Clostridium perfringens research
  • Minerals Flotation and Separation Techniques
  • Iterative Learning Control Systems
  • Anaerobic Digestion and Biogas Production
  • Nonlinear Dynamics and Pattern Formation
  • Bacterial biofilms and quorum sensing
  • Light effects on plants

University of Massachusetts Amherst
2014-2023

Multidisciplinary Digital Publishing Institute (Switzerland)
2019

Montana State University
2019

University of Washington
2019

Amherst College
2019

John Wiley & Sons (Germany)
2018-2019

Computer Aids for Chemical Engineering
2018

John Wiley & Sons (United States)
2018

Hudson Institute
2018

Wayne State University
2017

10.1016/s0098-1354(98)00260-9 article EN Computers & Chemical Engineering 1998-12-01

An adaptive nonlinear control strategy for a bench-scale pH neutralization system is developed and experimentally evaluated. The process exhibits severe time-varying behavior therefore cannot be adequately controlled with conventional PI controller. controller design based on modified input-output linearization approach which accounts the implicit output equation in reaction invariant model. Because invariants measured online linearized unobservable, feedback by combining linearizing...

10.1109/87.317975 article EN IEEE Transactions on Control Systems Technology 1994-01-01

We present a novel algorithm to solve dense linear systems using graphics processors (GPUs). reduce matrix decomposition and row operations series of rasterization problems on the GPU. These include new techniques for streaming index pairs, swapping rows columns parallelizing computation utilize multiple vertex fragment processors. also use appropriate data representations match order cache technology have implemented our different GPUs compared performance with optimized CPU...

10.1109/sc.2005.42 article EN 2005-12-22

Abstract An internal model control (IMC) strategy for nonlinear single‐input single‐output systems is proposed. The controller designed to provide nominal performance, and a filter added make the implementable account plant/model mismatch. important advantage of new approach that assumption full‐state feedback inherent in most input‐output linearization schemes eliminated. However, proposed IMC restricted open‐loop stable with inverses. Under mild assumptions, closed‐loop system possesses...

10.1002/aic.690370711 article EN AIChE Journal 1991-07-01

Sequential uptake of pentose and hexose sugars that compose lignocellulosic biomass limits the ability pure microbial cultures to efficiently produce value-added bioproducts. In this work, we used dynamic flux balance modeling examine capability mixed substrate-selective microbes improve utilization glucose/xylose mixtures convert these substrates into products. Co-culture simulations Escherichia coli strains ALS1008 ZSC113, engineered for glucose xylose only respectively, indicated...

10.1002/bit.22954 article EN Biotechnology and Bioengineering 2010-09-29

10.1016/0009-2509(92)80270-m article EN Chemical Engineering Science 1992-01-01

This paper addresses three aspects of receding horizon control in discrete-time: (1) feedback stabilization general nonlinear systems with control; (2) the generation stabilizing laws that are discontinuous state; and (3) suitability to stabilize feedback-linearizable systems. The controller is shown via a Lyapunov function argument be asymptotically for large class As special case, can locally linearized stabilized control. A simple example shows there exist controllable discrete-time...

10.1080/00207179508921593 article EN International Journal of Control 1995-11-01

A dynamic flux balance model based on a genome-scale metabolic network reconstruction is developed for in silico analysis of Saccharomyces cerevisiae metabolism and ethanol production fed-batch culture. Metabolic engineering strategies previously identified their enhanced steady-state biomass and/or yields are evaluated performance glucose glucose/xylose media. Dynamic shown to provide single quantitative measure productivity that explicitly handles the possible tradeoff between yields....

10.1002/bit.21332 article EN Biotechnology and Bioengineering 2007-01-22

Abstract In situ biorestoration, where applicable, is indicated as a potentially very cost‐effective and environmentally acceptable remediation technology. Many contaminants in solution ground water well vapors the unsaturated zone can be completely degraded or transformed into new compounds by naturally occurring indigenous microbial populations. Undoubtedly, thousands of contamination events are remediated before reaches point detection. The need for methodology to determine when natural...

10.1111/j.1745-6592.1986.tb01034.x article EN Groundwater Monitoring & Remediation 1986-12-01

A key step in any process that converts lignocellulose to biofuels is the efficient fermentation of both hexose and pentose sugars. The co-culture respiratory-deficient Saccharomyces cerevisiae wild-type Scheffersomyces stipitis has been identified as a promising system for microaerobic ethanol production because S. only consumes glucose while efficiently xylose ethanol. To better predict how these two yeasts behave batch optimize performance, dynamic flux balance model describing metabolism...

10.1186/1754-6834-6-44 article EN cc-by Biotechnology for Biofuels 2013-01-01

Inflammatory bowel diseases (IBD), which include ulcerative colitis and Crohn's disease, cause chronic inflammation of the digestive tract in approximately 1.6 million Americans. A signature IBD is dysbiosis gut microbiota marked by a significant reduction obligate anaerobes sharp increase facultative anaerobes. Numerous experimental studies have shown that strongly correlated with decrease Faecalibacterium prausnitzii an Escherichia coli. One hypothesis induces increased oxygen levels gut,...

10.1186/s12918-017-0522-1 article EN BMC Systems Biology 2017-12-01

Abstract Circadian rhythms of mammalian physiology and behavior are coordinated by the suprachiasmatic nucleus (SCN) in hypothalamus. Within SCN neurons, various aspects cell exhibit circadian oscillations, including clock gene expression, levels intracellular Ca 2+ ([Ca ] i ), neuronal firing rate. [Ca oscillates neurons even absence firing. To determine causal relationship between expression SCN, as well network dependence rhythms, we introduced GCaMP3, a genetically encoded fluorescent...

10.1523/eneuro.0160-17.2017 article EN cc-by-nc-sa eNeuro 2017-07-01

Microbial systems in which the extracellular environment varies both spatially and temporally are very common nature engineering applications. While use of genome-scale metabolic reconstructions for steady-state flux balance analysis (FBA) extensions dynamic FBA common, development spatiotemporal models has received little attention. We present a general methodology modeling based on combining with fundamental transport equations that govern relevant convective and/or diffusional processes...

10.1186/s12918-016-0259-2 article EN BMC Systems Biology 2016-03-01

Chronic wounds are often colonized by consortia comprised of different bacterial species growing as biofilms on a complex mixture wound exudate. Bacteria in exhibit phenotypes distinct from planktonic growth, rendering the application antibacterial compounds ineffective. Computational modeling represents complementary tool to experimentation for generating fundamental knowledge and developing more effective treatment strategies chronic biofilm consortia. We developed spatiotemporal models...

10.1186/s12918-016-0334-8 article EN BMC Systems Biology 2016-09-07
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