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Results for “optimal control”

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At least 307 records · Page 17Linked to original sources

PubMed2004

Laser pulse control of ultrafast heterogeneous electron transfer: a computational study.

Laser pulse control of the photoinduced 90 fs charge injection from perylene into the conduction band of TiO2 is studied theoretically. The approach accounts for the electronic-ground state of the dye, the first excited state, the ionized state formed after charge injection, and the continuum of the electronic states in the conduction band, all defined vs a single reaction coordinate. To address different control tasks optimal control theory is combined with a full quantum dynamical description of the electron-vibrational motion accompanying the charge injection process. First it is proved in which way the charge injection time can be changed by tailored laser pulses. In a second step a pump-dump scheme from the perylene ground state to the first excited electronic state and back to the ground state is discussed. Because of the strong coupling of the excited perylene state to the band continuum of TiO2 this control task is more suited to an experimental test than the direct control of the charge injection.

Journal Article↗

PubMed1998

Clonal analysis by ribotyping of Fusobacterium nucleatum isolates obtained from healthy young adults with optimal plaque control.

Fusobacterium nucleatum is a Gram-negative anaerobic rod implicated in the pathogenesis of periodontal disease. However, this organism has also been frequently identified in high numbers in healthy adults. These observations suggest that the species may comprise different clonal types, some of which may participate in disease. The purpose of the present investigation was to use restriction endonuclease analysis (REA) and ribotyping to characterize F. nucleatum clonal types isolated from healthy young adults with optimal plaque control and investigate the stability of some of these clonal types. A group comprising 11 dental students and 11 dental outpatients with optimal plaque control was sampled. Clonal stability was investigated by sampling the dental student group at baseline and at 16 months. One hundred and thirty-two clinical isolates of F. nucleatum were successfully recovered from 15/22 individuals. For the positive subjects, 29 different clonal types were identified by REA and ribotyping, each subject and site being colonized by 1-4 clonal types. For the dental students, 9 and 15 different clonal types were identified at baseline and 16 months, respectively. None of the students harboured identical clonal types at both sampling times. Our results show that ribotyping is a useful technique for monitoring the distributions of F. nucleatum clonal types and indicate that healthy individuals with optimal plaque control can be colonized by more than one F. nucleatum clonal type and that these clonal types appear to be unstable.

Adult↗

PubMed2003

Optimal boiler control through real-time monitoring of unburned carbon in fly ash by laser-induced breakdown spectroscopy.

A laser-induced breakdown spectroscopy (LIBS) technique has been applied for detection of unburned carbon in fly ash, and an automated LIBS unit has been developed and applied in a 1000-MW pulverized-coal-fired power plant for real-time measurement, specifically of unburned carbon in fly ash. Good agreement was found between measurement results from the LIBS method and those from the conventional method (Japanese Industrial Standard 8815), with a standard deviation of 0.27%. This result confirms that the measurement of unburned carbon in fly ash by use of LIBS is sufficiently accurate for boiler control. Measurements taken by this apparatus were also integrated into a boiler-control system with the objective of achieving optimal and stable combustion. By control of the rotating speed of a mill rotary separator relative to measured unburned-carbon content, it has been demonstrated that boiler control is possible in an optimized manner by use of the value of the unburned-carbon content of fly ash.

Journal Article↗

PubMed1987

Optimal pain control in elderly cancer patients.

The optimal management of pain in the elderly cancer patient is founded on astute assessment of pain and other symptoms, development of a pain diagnosis derived from the clinical evaluation, treatment of underlying causes where possible, and the expert application of analgesic techniques. Analgesic techniques themselves are multimodal. Pharmacologic approaches are the mainstay, but an individual patient may benefit from the use of anesthetic, neuroaugmentative, surgical, physiatric, or psychological methods, as well. Guidelines for the assessment and integrated management of these patients are suggested, with specific emphasis on the use of pharmacologic therapy.

Aged↗

PubMedDate not supplied

Challenges in optimal metabolic control of diabetes.

The results of the Diabetes Control and Complications Trial (DCCT) and the United Kingdom Prospective Diabetes Study (UKPDS) showed that tight glycemic control with any of several therapeutic regiments has the potential to significantly reduce the risks for long-term microvascular complications of type 1 or type 2 diabetes. The results of these large-scale long-term studies also demonstrated that there is no threshold for the relationship between blood glucose [i.e. glycosylated hemoglobin (HbA(1c))] and reduced risk. This means that 'optimal' glycemic control in a patient with type 1 or type 2 diabetes is a blood glucose level as close as possible to the level in an individual without diabetes. Limitations of most available therapies for type 1 and 2 diabetes have hampered achievement of this goal. Most available insulin preparations used to treat patients with type 1 disease can achieve approximately normal basal insulin levels only when used with a pump or a complex treatment regimen requiring a large number of daily injections. Pumps are limited by high expense, and complex injection protocols increase the potential for patient errors and non-compliance. The development of new insulins such as aspart insulin and lispro insulin, both short-acting, and insulin glargine, a long-acting insulin analogue suitable for once-daily administration, may help overcome these challenges. In patients with type 2 diabetes, achieving optimal glycemic control is complicated by the progressive nature of the disease and the loss of efficacy of oral agents (e.g. sulfonylureas, metformin, and thiazolidinediones) over time. Moreover, neither oral therapy nor insulin alone is likely to achieve optimal glycemic control in most of these patients in the long term. The availability of new insulin preparations that mimic the normal mealtime bursts of insulin, and another that provides a sustained insulin supply similar to basal insulin secretion in an individual without diabetes has the potential to significantly improve long-term control over blood glucose in patients with type 2 diabetes.

Administration, Oral↗

PubMedDate not supplied

The modelling of metabolic systems. Structure, control and optimality.

This article gives an overview of recent developments in the modelling of the structure, control and optimality of metabolic networks. In particular, methods of algebraically analysing the topology of such networks are presented. By these methods, conservation relations and elementary modes of functioning (biochemical routes) can be detected. The principles of metabolic control analysis are outlined. Various recent extensions of this theory are presented, such as an analysis in terms of time dependent variables and modular analysis. Evolutionary optimisation principles are applied to explain the catalytic efficiency of single enzymes as well as the structural design of metabolic pathways. Special results concern the optimal distribution of ATP consuming and ATP producing reactions in glycolysis.

Catalysis↗

PubMed2003

Gastric emptying of solid and liquid meals in healthy controls compared with long-term type-1 diabetes mellitus under optimal glucose control.

BACKGROUND: Neuropathy of the enteric nervous system and hyperglycaemia are regarded as the main causes of diabetic gastroparesis. PATIENTS AND METHODS: In ten patients with Type-1 diabetes mellitus and sensomotoric neuropathy gastric emptying half times were compared with ten healthy controls by employing the 13C-octanoic acid and the 13C-sodiumacetate breath test, resp., following the intake of equally composed and isocaloric liquid and solid meals. Plasma glucose concentrations were controlled by permanent intravenous administration of insulin. RESULTS: In diabetes mellitus gastric emptying half times after the intake of the liquid meal (p < 0.05) but not after ingestion of the solid meal were slightly prolonged. Gastric emptying half times in patients and controls were not different when liquid and solid meals were compared. CONCLUSIONS: Acute hyperglycaemia appears to be more important than the neuropathy of the enteric nervous system in the pathophysiology of diabetic gastroparesis. The rate of gastric emptying is obviously not dependent on the phase of a meal, but rather on the composition and the caloric content.

Adult↗

PubMed2002

Analytical properties and optimization of time-delayed feedback control.

Time-delayed feedback control is an efficient method for stabilizing unstable periodic orbits of chaotic systems. If the equations governing the system dynamics are known, the success of the method can be predicted by a linear stability analysis of the desired orbit. Unfortunately, the usual procedures for evaluating the Floquet exponents of such systems are rather intricate. We show that the main stability properties of the system controlled by time-delayed feedback can be simply derived from a leading Floquet exponent defining the system behavior under proportional feedback control. Optimal parameters of the delayed feedback controller can be evaluated without an explicit integration of delay-differential equations. The method is valid for low-dimensional systems whose unstable periodic orbits are originated from a period doubling bifurcation and is demonstrated for the Rössler system and the Duffing oscillator.

Journal Article↗

PubMed1990

Optimal population control with uncertain output.

"This note has shown how the techniques of stochastic control theory can be used to analyze the impact of uncertainty about non-labour inputs on optimal population control expenditure. While we have chosen very simple structure, it has allowed us to isolate the channels through which uncertainty affects the optimal plan, in this case causing expected expenditure on control to rise more slowly or fall more rapidly than its deterministic counterpart. Given the long-term implications of changes in population growth at any instant, and the stochastic nature of the environment in which control decisions are made, it is likely that useful insights could be obtained by extending the stochastic control approach to more complicated population control structures."

Demography↗

PubMed2004

Kalman filter control embedded into the reinforcement learning framework.

There is a growing interest in using Kalman filter models in brain modeling. The question arises whether Kalman filter models can be used on-line not only for estimation but for control. The usual method of optimal control of Kalman filter makes use of off-line backward recursion, which is not satisfactory for this purpose. Here, it is shown that a slight modification of the linear-quadratic-gaussian Kalman filter model allows the on-line estimation of optimal control by using reinforcement learning and overcomes this difficulty. Moreover, the emerging learning rule for value estimation exhibits a Hebbian form, which is weighted by the error of the value estimation.

Algorithms↗

PubMedDate not supplied

[Engineering psychological principles of optimizing the control systems of flying vehicles].

Having reviewed literature publications and their own findings, the authors have formulated principles of optimization of control systems of flying vehicles which reflect certain psychophysiological patterns of human activity. Of greatest importance are the following principles: consistence of the information model to the operational image of the pilot and pattern of distribution of his attention; estimation of operational thresholds of signal perception; information integration into an integrally perceived image; selection of an optimal algorithm for the solution of flying and other problems; decrease of the load on the short-term and long-term memory. The authors have shown that the practical application of these principles requires a preliminary analysis of the psychophysiological structure of the activity of crewmembers.

Aircraft↗

PubMed1994

Methods and strategies available for the process control and optimization of monoclonal antibody production.

The objective of this paper is to explore the range of methods and strategies available for the process control and optimization of monoclonal antibody production by hybridoma cell culture. Emphasis will be placed on the choice of the level of complexity incorporated into the process control and optimisation procedure. It will be shown that the behaviour of hybridomas in culture is influenced by sophisticated cellular metabolic activities and various interactive environmental factors and that the understanding and modelling of the way hybridomas grow in the bioreactor should enable optimisation of bioreactor operating conditions to achieve maximum monoclonal antibody formation. However, due to the lack of on-line instrumentation of important biological variables and the incomplete knowledge of hybridoma cultivation process, there exist many limitations and challenges to the advent of applications of process control and optimisation in this field. To solve the problem, introduction of industrially practical biological measurements and development of new control concepts are inevitable. At the end of this paper, we shall discuss possible schemes for the control of the physiological state of cells in order that balanced cell growth and maximum monoclonal antibody synthesis may be achieved.

Animals↗

PubMed2001

Predictive algorithms for neuromuscular control of human locomotion.

The problem of quantifying muscular activity of the human body can be formulated as an optimal control problem. The current methods used with large-scale biomechanical systems are non-derivative techniques. These methods are costly, as they require numerous integrations of the equations of motion. Additionally, the convergence is slow, making them impractical for use with large systems. We apply an efficient numerical algorithm to the biomechanical optimal control problem. Using direct collocation with a trapezoidal discretization, the equations of motion are converted into a set of algebraic constraint equations. An augmented Lagrangian formulation is used for the optimization problem to handle both equality and inequality constraints. The resulting min-max problem is solved with a generalized Newton method. In contrast to the prevalent optimal control implementations, we calculate analytical first- and second-derivative information and obtain local quadratic convergence. To demonstrate the efficacy of the method, we solve a steady-state pedaling problem with 7 segments and 18 independent muscle groups. The computed muscle activations compare well with experimental EMG data. The computational effort is significantly reduced and solution times are a fraction of those of the non-derivative techniques.

Algorithms↗

PubMed2002

Optimal feedback control as a theory of motor coordination.

A central problem in motor control is understanding how the many biomechanical degrees of freedom are coordinated to achieve a common goal. An especially puzzling aspect of coordination is that behavioral goals are achieved reliably and repeatedly with movements rarely reproducible in their detail. Existing theoretical frameworks emphasize either goal achievement or the richness of motor variability, but fail to reconcile the two. Here we propose an alternative theory based on stochastic optimal feedback control. We show that the optimal strategy in the face of uncertainty is to allow variability in redundant (task-irrelevant) dimensions. This strategy does not enforce a desired trajectory, but uses feedback more intelligently, correcting only those deviations that interfere with task goals. From this framework, task-constrained variability, goal-directed corrections, motor synergies, controlled parameters, simplifying rules and discrete coordination modes emerge naturally. We present experimental results from a range of motor tasks to support this theory.

Feedback↗

PubMed2005

Quantum control of molecular motion including electronic polarization effects with a two-stage toolkit.

A method for incorporating strong electric field polarization effects into optimal control calculations is presented. A Born-Oppenheimer-type separation, referred to as the electric-nuclear Born-Oppenheimer (ENBO) approximation, is introduced in which variations of both the nuclear geometry and the external electric field are assumed to be slow compared with the speed at which the electronic degrees of freedom respond to these changes. This assumption permits the generation of a potential energy surface that depends not only on the relative geometry of the nuclei but also on the electric field strength and on the orientation of the molecule with respect to the electric field. The range of validity of the ENBO approximation is discussed in the paper. A two-stage toolkit implementation is presented to incorporate the polarization effects and reduce the cost of the optimal control dynamics calculations. As an illustration of the method, it is applied to optimal control of vibrational excitation in a hydrogen molecule aligned along the field direction. Ab initio configuration interaction calculations with a large orbital basis set are used to compute the H-H interaction potential in the presence of the electric field. The significant computational cost reduction afforded by the toolkit implementation is demonstrated.

Journal Article↗

PubMed2002

Construction of optimal quality control for oligo arrays.

MOTIVATION: Oligo arrays are important experimental tools for the high throughput measurement of gene expression levels. During production of oligo arrays, it is important to identify any faulty manufacturing step. RESULTS: We describe a practical algorithm for the construction of optimal quality control designs that identify any faulty manufacturing step. The algorithm uses hillclimbing, a search technique from combinatorial optimization. We also present the results of using this algorithm on all practical quality control design sizes. AVAILABILITY: On request from the authors.

Algorithms↗

PubMed1989

Species preservations in an optimal harvest model with random prices.

In this paper, we consider an optimal harvest model in which the objective is to maximize the expected return. The unit price of biomass is assumed constant until a random time when the price increases by a given amount. Furthermore, due to obvious environmental protection requirements, it is assumed that the fishery population is bounded from below for all time so as to reduce the danger of species extinction. Clearly, this problem is an optimal control problem in which a random parameter is involved. However, due to its special structure, it is shown that the problem is convertible into a deterministic optimal control problem and hence is solvable by an existing optimal control software package, MISER. The practical implication of several computed results obtained by this approach is discussed. They are also compared with other related results in the literature.

Animals↗

PubMedDate not supplied

Adaptive neural network that subserves optimal homeostatic control of breathing.

An adaptive neural network model that exhibits the optimality and homeostasis characteristics of the respiratory control system is described. Based upon the Hopfield network structure and a postulated Hebb-like respiratory synapse with correlational short-term potentiation, the model is capable of mimicking the normal ventilatory responses to exercise and CO2 inputs without the need for an explicit exercise stimulus. Results suggest the possibility of an adaptive neuronal mechanism that effects optimal homeostatic regulation of respiration in mammals.

Adaptation, Physiological↗