This note is concerned with robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> control of linear networked systems time-varying network-induced delay and data packet dropout. A new Lyapunov-Krasovskii functional, which makes use the information both lower upper bounds delay, proposed to drive a delay-dependent stabilization criterion. The criterion formulated in form non-convex matrix inequality, feasible solution can be...

In this paper, pinning synchronization on complex networks of is investigated, where there are many subnetworks with the interactions among them. The and their connections can be regarded as nodes networks, respectively, which form networks. new setting, aim to design controllers chosen each subnetwork so reach behavior. Some criteria established for reaching control Furthermore, scheme designed, shows that very low degrees large good candidates applying controllers. Then, attack robustness...

This paper addresses the problem of state estimation for a class discrete-time stochastic complex networks with constrained and randomly varying coupling uncertain measurements. The is governed by Markov chain, capacity constraint handled introducing logarithmic quantizer. uncertainty measurements modeled multiplicative noise. An asynchronous estimator designed to overcome difficulty that each node cannot access information, an augmented error system obtained using Kronecker product....

This paper describes a novel development of lower limber exoskeleton for physical assistance and rehabilitation. The developed is motorized leg device having total 4 DOF with hip, knee, ankle actuated in the sagittal plane. applies forces learns impedance parameters both robot human. An adaptive control scheme by incorporating learning approaches into system to help movement on desired periodic trajectory handle uncertainties known periods. proposed approach does not require muscle model can...

Quantization has been an important research area for a long time networked control systems. This paper addresses the problem of reset state observer (RSO)-based (RSOC) linear systems using quantized measurements. According to characteristic logarithmic quantizer, RSOC is presented based on standard one suppress sensor quantization effects. By Lyapunov approach, closed-loop system still asymptotically stable when technique introduced. The and controller gains are obtained via solving matrix...

A new design of linear quadratic control (LQ) is proposed for batch processes with partial actuator faults and unknown disturbance. The autoregressive model built through input-output process data transformed into a non-minimal state space (NMSS) in which the variables tracking error are combined, then LQ scheme derived based on minimax optimization. Unlike traditional NMSS (TNMSSLQ), can both be regulated method. Monotonic situations optimal performance cost further to yield sufficient...

This paper considers the problem of reset quantized state control for a class continuous-time linear system. The logarithmic quantization scheme is employed in network-based information communication, and observer introduced which based on standard one to suppress sensor effects. A Bernoulli processing approach presented value with random way domain. resulting error system hybrid contains both discrete-time stochastic dynamics. By Lyapunov method, it derived that under proposed technique...

This paper proposes an enhanced model predictive control (MPC) using a new state space structure for temperature of industrial coke furnace. The advantage the proposed controller lies in fact that its implementation only requires simple step-response process model, whereas design can be based on formulation to improve regulation. To ensure performance effectiveness under model/process mismatch and uncertainties, predictions cost function optimization are done basis improved model. MPC is...

This paper focuses on the passive control problem for Markov jump systems with piecewise-constant transition rates, random nonlinearities and communication delays. An observer is used to obtain system state, delay probabilistic distribution considered. The properties of nonlinear perturbations delays are described by two mutually independent Bernoulli sequences. Based average dwell time method Lyapunov stability theory, a sufficient stochastic passivity condition presented. By singular value...

The unrestricted development and utilization of marine resources have resulted in a series practical problems, such as the destruction ecology. wide application radar, satellites other detection equipment has gradually led to large variety large-capacity spatiotemporal trajectory data from vast number sources. In field domain awareness, there is an urgent need use relevant information technology means control monitor ships accurately classify identify ship behavior patterns through...

In an industrial coke process, the dynamic relationship between input and output devices is complicated. Since performance closely related to control used, improved alternatives are necessary. This paper deals with oxygen content loop proposes state-space model predictive (MPC) aimed at satisfying steady air supply into process. The details of proposed MPC first described tested on a typical example then implemented furnace. Simulation examples real-time implementation results both show...

The paper presents a combination modeling procedure and the implementation of nonlinear predictive control scheme for optimization industrial chemical processes. model structure is first based on simple step response method. This provides way to use prior knowledge about dynamics, which has general validity, while additional information process behavior derived from measured plant data-model error. data error driven framework applicable wide range operating units under certain policy. same...

Actuator faults commonly exist in process control systems. Due to these faults, the controller may not achieve required target, so performance degrade. In this paper, fault-tolerant is designed through a predictive functional framework deal with partial actuator and unknown disturbances, which widely Based on new state space formulation of models, an improved scheme proposed, where satisfactory closed-loop achieved even disturbances faults. With system becomes parameter uncertainties. Hence,...