Author Archive | ISA Transactions

Modified-Smith-Predictor-Based-Cascade-Control

Modified Smith Predictor-Based Cascade Control of Unstable Time Delay Processes

  Abstract: An improved cascade control structure with a modified Smith predictor is proposed for controlling open-loop unstable time delay processes. The proposed structure has three controllers of which one is meant for servo response and the other two are for regulatory responses. An analytical design method is derived for the two disturbance rejection controllers by […]

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Simulation-Stability-Analysis-Neural-Network-Based-Control

Simulation and Stability Analysis of Neural Network Based Control Scheme for Switched Linear Systems

Abstract: This paper proposes a new adaptive neural network based control scheme for switched linear systems with parametric uncertainty and external disturbance. A key feature of this scheme is that the prior information of the possible upper bound of the uncertainty is not required. A feedforward neural network is employed to learn this upper bound. The […]

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DC-Servomechanism-Parameter-Identification-Closed-Loop-Approach

DC Servomechanism Parameter Identification: Closed-Loop Approach

  Abstract: This paper presents a Closed Loop Input Error (CLIE) approach for on-line parametric estimation of a continuous-time model of a DC servomechanism functioning in closed loop. A standard Proportional Derivative (PD) position controller stabilizes the loop without requiring knowledge on the servomechanism parameters. The analysis of the identification algorithm takes into account the control […]

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Robust-SDRE-Filter-Design-for-Nonlinear-Uncertain-Systems

Robust SDRE Filter Design for Nonlinear Uncertain Systems

Abstract: In order to remedy the effects of modeling uncertainty, measurement noise and input disturbance on the performance of the standard state-dependent Riccati equation (SDRE) filter, a new robust H∞ SDRE filter design is developed in this paper. Based on the infinity-norm minimization criterion, the proposed filter effectively estimates the states of nonlinear uncertain system exposed […]

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Self-Tuning-Control-Strategies

Self-Tuning Control Strategies Within Two Adaptive Perspectives

Abstract: This paper presents a study on self-tuning control strategies with generalized minimum variance control in a fixed two degree of freedom structure – or simply GMV2DOF – within two adaptive perspectives. One, from the process model point of view, using a recursive least squares estimator algorithm for direct self-tuning design, and another, using a Mamdani […]

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Dynamic-Simulation-and-Control-in-Natural-Gas-Processing-Plants

Dynamic Simulation and Control in Natural Gas Processing Plants

  Abstract: This manuscript highlights tangible benefits deriving from the dynamic simulation and control of operational transients of natural gas processing plants. Relevant improvements in safety, controllability, operability, and flexibility are obtained not only within the traditional applications, i.e. plant start-up and shutdown, but also in certain fields apparently time-independent such as the feasibility studies of […]

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Simple-Robust-Auto-Tuning-Rules-for-2-DoF-PID-Controllers

Simple Robust Auto-Tuning Rules for 2-DoF PID Controllers

  Abstract: This paper addresses the problem of providing simple tuning rules for a two-degree-of-freedom (2-DoF) PID controller (PI2) with robustness considerations. The introduction of robustness as a matter of primary concern is by now well established among the control community. Among the different ways of introducing a robustness constraint into the design stage, the purpose […]

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partial-stabilization-based-guidance

New Missile Guidance Law for Moving Targets

Abstract: A novel nonlinear missile guidance law against maneuvering targets is designed based on the principles of partial stability. It is demonstrated that in a real approach which is adopted with actual situations, each state of the guidance system must have a special behavior and asymptotic stability or exponential stability of all states is not realistic. […]

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design-of-a-self-tuning-regulator-for-temperature-control-of-a-polymerization-reactor

Design of a Self-Tuning Regulator for Temperature Control of a Polymerization Reactor

Abstract: The temperature control of a polymerization reactor described by Chylla and Haase, a control engineering benchmark problem, is used to illustrate the potential of adaptive control design by employing a self-tuning regulator concept. In the benchmark scenario, the operation of the reactor must be guaranteed under various disturbing influences, e.g., changing ambient temperatures or impurity […]

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