Continuous Stirred Tank Reactor (CSTR) is amajorarea in process, chemical and control engineering. In this paper, PID and MPC controllers are designed for CSTR in order to analyze the output concentration of the system by comparing the two proposed systems using Matlab/Simulink. Comparison have been made using two desired concentration input (Random reference and step) signals with and without input side disturbance (Flow rate error). The simulation result shows that the continuous stirred tank reactor with MPC controller have better response (...) in minimizing the overshoot and tracking the desired concentration for the system without input disturbance and with the effect of the disturbance makes the continuous stirred tank reactor with MPC controller output with small fluctuations and still better than the continuous stirred tank reactor with PID controller. Finally the comparative analysis and simulation results prove the effectiveness of the continuous stirred tank reactor with MPC controller. (shrink)

A hydraulic actuator is a system that can provide a large power amplification in industries and factories. In this paper, mass lifter hydraulic actuator system to a desired displacement is designed using optimal control theory. MPC and LQR controllers are used to design and improve the performance of the hydraulic actuator. The hydraulic actuator system is linearized using Taylor series linearization method and designed using Matlab/Simulink tool. Comparison of the hydraulic actuator with MPC and LQR controllers using three desired output (...) displacement signals (step, sine wave and white noise) is done and simulation results have been analyzed successfully. For the desired step input signal, the hydraulic actuator system with MPC controller lower rise and settling times with small percentage overshoot as compared to the hydraulic actuator system with LQR controller and for the desired sine wave signal, the hydraulic actuator system with MPC controller almost track the desired sine wave input signal correctly as compared to the hydraulic actuator system with LQR controller. While for the desired white noise input signal, the hydraulic actuator system with MPC controller have tried to track the desired white noise input signal with small variation in amplitude as compared to the hydraulic actuator system with LQR controller. Finally the comparative simulation results prove the effectiveness of the proposed hydraulic actuator system with MPC controller. (shrink)

Liquid level control is highly important in industrial applications such as boilers in nuclear power plants. In this paper a simple liquid level tank is designed based on NARMA-L2 and Model Predictive control controllers. The simple water level tank has one input, liquid flow inn and one output, liquid level. The proposed controllers is compared in MATLAB and then simulated in Simulink to test how the system actual liquid level track the desired liquid level with two input desired signals (step (...) and white noise). The response of the NARMA-L2 controller is then compared with a MPC controller. The results are shown sequentially and the effectiveness of the controller is illustrated. (shrink)

In this paper, a capacitor microphone system is presented to improve the conversion of mechanical energy to electrical energy using a nonlinear auto regressive moving average-L2 (NARMA-L2) and model predictive control (MPC) controllers for the analysis of the open loop and closed loop system. The open loop system response shows that the output voltage signal need to be improved. The comparison of the closed loop system with the proposed controllers have been analyzed and a promising result have been obtained using (...) Matlab/Simulink. (shrink)

This paper argues that specific phobia is an ideal kind of psychiatric disorder because it bears the marks of a mature medical diagnosis and is amenable to causal explanation. A new and ambitious program of ‘causal revolution’ has recently emerged in psychiatry that hopes to refurnish our taxonomies by discovering the underlying biological and psychological causes that create and maintain mental illness. I show that the sort of causal story envisioned by the program is a mechanistic property cluster (MPC) structure, (...) which involves a causal mechanism that explains the co-occurrence of a disorder’s signs and symptoms (Kendler, Zachar & Craver, 2011). I then build a model of fear in humans and sketch a novel account of specific phobia as a configuration of the fear system in thrall to deregulated network dynamics such as hysteresis, tipping points, and feedback loops. Specific phobia has an MPC structure. I close by reflecting on whether we can reasonably expect other mental disorders to fit an MPC mold, and thus lend themselves to future causal validation. This paper shows that specific phobia holds a unique place in our picture of mental disorder that has so far been missed. It is an ideal kind of psychopathology. (shrink)

Suppose you are at the gym trying to see some naked beauties by peeping through a hole in the wall. A policeman happens by, he asks you what you are doing, and you honestly tell him. He then arrests you for voyeurism. Are you guilty? We don’t know yet because there is one more fact to be considered: while you honestly thought that a locker room was on the other side of the wall, it was actually a squash court. Are (...) you guilty now? -/- Probably. You might argue that your scopophiliac ambition was impossible to satisfy given that you were peeping into a squash court, not a locker room. But this “Impossibility Defense” would fail because most jurisdictions follow the very influential Model Penal Code (MPC), which says that what is important about attempt is not the likelihood of success but rather what was going on in your head. You tried to peer into a locker room with the intention of seeing some nudity; that is enough for culpability. The fact that you were mistaken about the location does not exonerate you. -/- But now suppose that the particular jurisdiction you are in does not criminalize voyeurism. While most people think that voyeurism is just plain wrong, if not disgusting, the legislature just never got around to drafting a statute against it. Are you guilty now? The answer is no. But you might just be out of luck and convicted anyway. -/- The reason for this strange conclusion is that most jurisdictions have followed the Model Penal Code in yet another respect: along with the MPC’s “subjectivist” emphasis on what is in your head, they have followed the MPC’s lead in abolishing the Impossibility Defense entirely. As a result, people who believe that they are breaking laws when they really are not may still be subject to arrest, prosecution, and conviction respectively by police, prosecutors, and judges/juries merely if all three parties regard your conduct — especially your trying to violate a law that you mistakenly believed in — as morally reprehensible. The best, if not only, defense against this charge is the Impossibility Defense, but — again — most jurisdictions have decided to make this defense unavailable to defendants. -/- Depriving eligible defendants of the Impossibility Defense is unjust. It violates one of the most basic principles of criminal justice: the legality principle. The legality principle says that there cannot be just punishment without a crime, and there should not be a crime without an explicit law designating it as such. So you cannot be charged with, and convicted of, attempted voyeurism if voyeurism, reprehensible as it may be, was not explicitly prohibited at the time that you made the attempt. -/- If we believe in the legality principle, then we must restore the Impossibility Defense. Without the latter, too many defendants are being — and will continue to be — punished for attempts to perform acts that were not themselves illegal but which various parties in the criminal justice system (except the legislature) thought should be illegal based on their extralegal, moral prejudices. -/- In addition to the MPC, the principal obstacle to resurrecting the Impossibility Defense is a good deal of conceptual confusion that permeates relevant cases and scholarship. Too many courts and academics have conflated “factual impossibility” with “legal impossibility” and have fallaciously inferred “hybrid impossibility” from “hybrid mistakes” (that is, legal mistakes that derive from factual mistakes). One of the principal goals of this Article, then, is to clear up all of this confusion. I will explicate in the simplest possible terms (a) the difference between factual impossibility and legal impossibility, (b) why only legal impossibility qualifies as exculpatory, and (c) why hybrid impossibility simply does not exist. (shrink)

This paper addresses philosophical issues concerning whether mental disorders are natural kinds and how the DSM should classify mental disorders. I argue that some mental disorders (e.g., schizophrenia, depression) are natural kinds in the sense that they are natural classes constituted by a set of stable biological mechanisms. I subsequently argue that a theoretical and causal approach to classification would provide a superior method for classifying natural kinds than the purely descriptive approach adopted by the DSM since DSM-III. My argument (...) suggests that the DSM should classify natural kinds in order to provide predictively useful (i.e., projectable) diagnostic categories and that a causal approach to classification would provide a more promising method for formulating valid diagnostic categories. (shrink)

We explicate and evaluate arguments both for and against the insanity defense itself, different versions of the insanity defense (M'Naghten, Model Penal Code, and Durham (or Product)), the Irresistible Impulse rule, and various reform proposals.

The main target of this paper is to control the speed of DC motor by comparing the actual and the desired speed set point. The DC motor is designed using Fuzzy logic and MPC controllers. The comparison is made between the proposed controllers for the control target speed of the DC motor using square and white noise desired input signals with the help of Matlab/Simulink software. It has been realized that the design based on the fuzzy logic controller track the (...) set pointwith the best steady state and transient system behavior than the design with MPC controller. Finally, the comparative simulation result prove the effectiveness of the DC motor with fuzzy logic controller. (shrink)