Idea Of Control Theory Research Articles

Design and Testing of a Pid Controller on a Parrot Minidrone

This paper focuses on quadcopter control design and uses the Simulink Support Package for Parrot Minidrones to test various control approaches. This project's goal is to bridge the knowledge gap between control design and implementation, making it simpler to comprehend the fundamental ideas of control theory. Obtaining a dynamic model of the quadcopter, linearizing the system around an equilibrium point, designing PID controller on the linearized system, and then verifying the controllers on the non-linear model using simulations and test flights with the actual drone are the key components of this research. The tuned controllers are validated by trajectory tracking, setpoint regulation, and disturbance rejection.

Design and Testing of a Pid Controller on a Parrot Minidrone

This paper focuses on quadcopter control design and uses the Simulink Support Package for Parrot Minidrones to test various control approaches. This project's goal is to bridge the knowledge gap between control design and implementation, making it simpler to comprehend the fundamental ideas of control theory. Obtaining a dynamic model of the quadcopter, linearizing the system around an equilibrium point, designing PID controller on the linearized system, and then verifying the controllers on the non-linear model using simulations and test flights with the actual drone are the key components of this research. The tuned controllers are validated by trajectory tracking, setpoint regulation, and disturbance rejection.

Control Theory and Cancer Chemotherapy: How They Interact.

Control theory arises in most modern real-life applications, not least in biological and medical applications. In particular, in biological and medical contexts, the role of control theory began to take shape in the early 1980s when the first works appeared on the application of control theory in models of pharmacokinetics and pharmacodynamics for antitumor therapies. Forty years after those first works, the theory of control continues to be considered a mathematical analysis tool of extreme importance and usefulness, but the challenges it must overcome in order to manage the complexity of biological processes are in fact not yet overcome. In this article, we introduce the reader to the basic ideas of control theory, its aims and its mathematical formalization, and we review its use in cell phase-specific models for cancer chemotherapy. We discuss strengths and limitations of the control theory approach to the analysis pharmacokinetics and pharmacodynamics models, and we will see that most of them are strongly related to data availability and mathematical form of the model. We propose some future research directions that could prove useful in overcoming the these limitations and we indicate the crucial steps preliminary to a useful and informative application of control theory to cancer chemotherapy modeling.

Disturbance Observer-Based Linear Matrix Inequality for the Synchronization of Takagi-Sugeno Fuzzy Chaotic Systems

This article presents a synchronization control method based on poles’ placement, disturbances, and uncertainty estimation (DUE) for a pair of Takagi-Sugeno fuzzy systems. First, a 3-D chaotic system was completely converted into a Takagi-Sugeno (T-S) fuzzy model by applying the nonlinearity sector method, which consists of if-then rules and sub-linear systems. Second, two identical T-S fuzzy systems with different initial conditions were synchronized by applying the linear matrix inequality (LMI) to place the eigenvalues of the state error equations in the stable region. Third, the sum of the time-varying disturbances and uncertainties of two nonidentical T-S fuzzy systems were deleted by a disturbance and uncertainty estimation. The given output signals confirmed that the proposed method is suitable and ideal for synchronizing T-S fuzzy systems. The ideas of control theory were implemented by using two experimental scenarios in MATLAB Simulink for two computers connected via an internet router and an electronics circuit’s communication.

Multiclass AQM on a TCP/IP router: A control theory approach

SummaryActive queue management (AQM) is a well‐known technique to improve routing performance under congested traffic conditions. It is often deployed to regulate queue sizes, thus aiming for constant transmission delay. This work addresses AQM using an approach based on control theory ideas. Compared with previous results in the literature, the novelty is the consideration of heterogeneous traffic, ie, multiclass traffic. Thus, each traffic class may have different discarding policies, queue sizes, and bandwidth share. This feature brings the proposal nearer to real network management demands than previous approaches in the literature. The proposed technique assumes that each class already has a simple controller, designed a priori, and focuses on designing a static state‐feedback controller for the multiclass system, where the design is based on using LMIs for the calculations. For this, optimization problems with LMI constraints are proposed to compute the state‐feedback gains that ensure stability for a large set of admissible initial conditions. These conditions ensure not only closed‐loop stability but also some level of performance. As far as we know, this is the first control theory based approach for the AQM problem on TCP/IP routers that allows a multiclass AQM while also considering time‐varying delays and input saturation. This is an important step to frame AQM in a more formal, yet realistic context, enabling it to address important service level agreement (SLA) directives. The proposal is tested on a simulated system at the end of this paper, showing the feasibility and performance of the approach in the presence of multiclass traffic.

The novel control method of three dimensional discrete hyperchaotic Hénon map

In this paper, based on the stability theorem of discrete systems and the idea of control theory, the novel three dimensional discrete hyperchaotic Hénon map is analyzed and the feedback and adaptive control methods are presented, respectively to stabilize hyperchaotic Hénon map at different one-periodic orbits. The two methods are compared in different aspects. Numerical simulations show the feasibility and effectiveness of this method.

Special section on software cybernetics

This special section on software cybernetics deals with novel results and new methodologies that bring together software engineering and discrete event control theory ideas. Papers treating distinct issues and techniques regarding software engineering, such as component based and secure development, using various control theory approaches, relevant to the interplay between software engineering and control, were solicited. After careful reviewing the following paper was selected from a large list of papers under consideration: Changyan Zhou and Ratnesh Kumar: Semantic Translation of Simulink Diagrams to Input/Output Extended Finite Automata We would like to thank the editors of this special section, Joao Cangusu, Ron Kennett, and Ratnesh Kumar, for their efforts in putting together this special section.

A control theory approach to clock steering techniques

Several clock and time scale steering methods have been developed according to different viewpoints by various time laboratories. By resorting to control theory ideas, we propose a common theoretical framework encompassing these methods. A comparison of the most common steering methodologies, namely, the classical steering approach, the GPS bang-bang method, and the linear quadratic Gaussian technique, is carried out. We believe that the use of control theory methods can potentially lead to a better understanding of clock steering algorithms.

Driver Distraction From a Control Theory Perspective

Distraction from cell phones, navigation systems, information/entertainment systems, and other driver-interactive devices now finding their way into the highway vehicles is a serious national safety concern. However, driver distraction is neither well defined nor well understood. In an effort to bring some better definition to the problem, a framework is proposed based on the ideas of control theory. Loci and causes of distraction are represented as disturbances to various functional elements of a control loop involving driver intending (goal setting), sensing, deciding on control response, dynamics of the vehicle, and human body activation and energetics. It is argued that activation should be classed separately from the other functions. Attention switching from environmental observation/control to internal device manipulation is modeled as sampled-data control. Also fit within the control framework are mental modeling and anticipation of events in the driver's preview. The control framework is shown to suggest some salient research questions and experiments. Actual or potential applications of this research include a refined understanding of driver distraction and better modeling and prediction of driving performance as a function of vehicle and highway design.

Cancer models and advances in simulating radiation therapy

In this paper we outline some strategies how ideas of control theory, automata theory and computer science can be applied to the field of cancer research. Algorithms and modular program packages were constructed in vitro and in vivo. As a result we favour the hypothesis that cancer may be interpreted as a structural unstable closed-loop control circuit. Furthermore, the attempt is made to simulate different kinds of cancer therapy. An example is given to extend the models developed so far by introducing characteristic features of radiotherapy. Thus, a fundamental open question concerning the irradiation schemes “multifractionation or a single high dose?” may be answered by computer simulation experiments.

Monetary policy and the stability of macroeconomic relationships

SUMMARY Estimates of the effect of different international monetary regimes on the parameters of the Phillips curve, the Keynesian consumption function, and other reduced-form macroeconomic relationships are given. The estimates provide a quantitative assessment of the importance of the Lucas critique for such regime shifts. The estimates are calculated by stochastically simulating an estimated multicountry economic model with rational expectations under a fixed exchange rate regime and a flexible exchange rate regime. In both regimes interest rates are the primary instrument of monetary policy. Noticeable shifts occur in most of the macroeconomic relationships, especially in the consumption function and the Phillips curve, and these shifts have simple economic interpretations based on the changes in the variance and the serial correlation of income and prices in the two regimes. However, in most cases the shifts are not large quantitatively. At least, as implemented here, this type of regime shift does not seem to generate much instability in the conventional macroeconomic relationships. Several possible reasons for this finding are discussed in the paper. In this paper I plan to follow in a tradition pioneered by A. W. Phillips almost 40 years ago. Phillips (1954) evaluated monetary and fiscal policy by examining the operating properties of simple policy rules in a fully specified economic model. He did this by applying control theory ideas from the engineering literature. By examining the performance of the model economy under different types of policy rules-for example, proportional, derivative, and integral rules-he attempted to determine which policy rule would work well and which would not work well in practice. Following in the Phillips tradition does not mean that I will use the same theoretical models, econometric methods, or computational techniques that Phillips used. To do so would, in my view, pass by fundamental developments in dynamic economic theory, econometrics, and solution procedures that have been achieved since the time that Phillips wrote. Phillip's (1954) analysis was based on Keynesian ISLM-multiplier-accelerator models that were popular in the early 1950s. The policy evaluation I describe in this lecture differs from Phillips's policy evaluation in several ways. First, it makes use of a dynamic rational expectations model with forward-looking behaviour in consumption, investment, wage-setting, and interest rates. Second, the model is international and exchange rate determination reflects the current high degree of international capital mobility which did not exist when Phillips wrote. Third, the model is empirically estimated; most of Phillips's work was based on simulation models with 'calibrated' parameters. Fourth, the simulations are done stochastically with an empirically

Modeling and simulation as a tool for optimizing the treatment of tumor diseases

Abstract The main point of this paper is to show how ideas of control theory, automata theory and computer science can be applied to the field of oncology. We are stressing the modeling of three-dimensional tumor growth and the simulation of different kinds of tumor therapy (restricted energy supply, surgery, radiation therapy, chemotherapy). In the future it will be possible to schedule the optimized methods and time of tumor treatment by computer simulation prior to clinical therapy.