Design of parameter-scheduled state-feedback controllers using shifting specifications

A Design of Gain-scheduled Congestion Controllers using State Predictive Observers

In this paper, a design problem of congestion controllers is discussed for TCP/AQM(Transmission Control Protocol/Active Queue Management) networks. The proposed method consists of two control techniques. First one is based on a gain-scheduling technique considering nonlinearities of TCP/AQM networks. But the designed congestion controller is a state feedback controller and it is impossible to e...

Rate and Magnitude-bounded Actuators: Scheduled State Feedback Design

This paper studies the problem of controller synthesis for systems subject to amplitude and rate saturation constraints in the actuators. The main approach assumes that each actuator has a dynamic model of order at least one. The controllers presented here are only state feedback, though extension to the output feedback is also possible. The solvability conditions for the problem are expressed ...

Permissive Finite-State Controllers of POMDPs using Parameter Synthesis

We study finite-state controllers (FSCs) for partially observable Markov decision processes (POMDPs). The key insight is that computing (randomized) FSCs on POMDPs is equivalent to synthesis for parametric Markov chains (pMCs). This correspondence enables using parameter synthesis techniques to compute FSCs for POMDPs in a black-box fashion. We investigate how typical restrictions on parameter ...

Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization

In this paper, a novel and generic multi-objective design paradigm is proposed which utilizes quantum-behaved PSO(QPSO) for deciding the optimal configuration of the LQR controller for a given problem considering a set of competing objectives. There are three main contributions introduced in this paper as follows. (1) The standard QPSO algorithm is reinforced with an informed initialization sch...

Robust Control Design of Gain-scheduled Controllers for Nonlinear Processes