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This book focuses on filtering, control and model-reduction problems for two-dimensional (2-D) systems with imperfect information. The time-delayed 2-D systems covered have system parameters subject to uncertain, stochastic and parameter-varying changes.

After an initial introduction of 2-D systems and the ideas of linear repetitive processes, the text is divided into two parts detailing:

- General theory and methods of analysis and optimal synthesis for 2-D systems; and

- Application of the general theory to the particular case of differential/discrete linear repetitive...

Communication-Protocol-Based Filtering and Control of Networked Systems is a self-contained treatment of

• the state of the art in communication-protocol-based filtering and control;
• recent advances in networked systems; and
• the potential for application in sensor networks.

This book provides new concepts, new models and new methodologies with practical significance in control engineering and signal processing. The book first establishes signal-transmission models subject to different communication protocols and then...

Communication-Protocol-Based Filtering and Control of Networked Systems is a self-contained treatment of

• the state of the art in communication-protocol-based filtering and control;
• recent advances in networked systems; and
• the potential for application in sensor networks.

This book provides new concepts, new models and new methodologies with practical significance in control engineering and signal processing. The book first establishes signal-transmission models subject to different communication protocols and then...

This book is a self-contained collection of recent research findings providing a comprehensive and systematic unified framework for both analysis and synthesis for singularly perturbed systems. It paves the way for the gap between frequency-domain-transfer-function-based results and time-domain-state-space-based results to be bridged.

It is divided into three parts focusing on: fundamental background of singular perturbation; general singular perturbation methodologies and time-scale techniques and the theoretical foundation of finite-frequency control; the analysis and synthesis of...

• Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena
• Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance
• Includes case studies of several nonlinear stochastic systems
• Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations
• Considers both time-invariant systems and...

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent.

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information...