Robust stability of uncertain dynamic systems has major importance when real world system models are considered. A realistic approach has to consider uncertainties of various kinds in the system model. Uncertainties due to inherent modelling/identification inaccuracies in any physical plant model specify a certain uncertainty domain, e.g. as a set of linearized models obtained in different work...

In this paper, a new artificial intelligence technique, Harmony Search (HS), will be used for the optimization of a classical order PID for a two-area load frequency control (LFC) model using the participation factor concept. The HS has four main variants, these variants had been used for the optimization of classical order PID controllers in case of centralized control scheme, the results had ...

In this Paper, a novel approach based on Cuckoo search optimization, with dominant eigen value shift for designing robust decentralized load frequency control system for interconnected power system is presented. A proportional integral – derivative (PID) controller is considered to exemplify the optimum parameter search. To demonstrate the robustness of the obtained controller, a two-area non r...

Different traditional and advanced control strategies have been tested and the performance investigated, revealing their incentives. The investigated control approaches are: conventional decentralized PID control, MPC control based on analytical model, MPC based on Artificial Neural Networks (ANN) model and Fuzzy Logic Control (FLC). Comparative control results are shown for the multivariable c...

Robust stability is an important aspect in control of real world systems, since uncertainties have to be considered in dynamic system model. This paper studies the robust decentralized controller design for case study: quadruple tank process, [3,4]. Several important aspects of system analysis are shown to choose appropriate pairing and assess stabilizability via decentralized control structure...

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

In this paper, the auto-tuning of decentralized PID controllers for MIMO processes using different relay feedback experiments is studied. These methods consist in identifying the ultimate point of the process, using relay feedback and applying Ziegler-Nichols-like formulae in order to tune the controllers. A benchmark illustrates the benefits and drawbacks of each approach.

The paper deals with the robust PID controller design for performance for linear MIMO systems with state decentralized structure using output feedback. The proposed design procedure is a straightforward state space extension of the frequency domain Equivalent Subsystems Method (ESM) guaranteeing feasible performance achieved in equivalent subsystems for the full system.

A commonly accepted fact is that the diagonal structure of the controller poses fundamental limitations on the achievable performance, but few quantitative results are available for measuring these limitations. This paper provides a lower bound on the achievable quality of disturbance rejection using a decentralized controller for stable discrete time linear systems with time delays, which do n...